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Featured Paper by

Yue Zuo and Lindi J. Quackenbush

Since roads play an important role in many application areas, up-to-date road databases are critical. Automated road extraction using many different types of remote sensing data has been explored. Recently, lidar data has proven advantageous for road extraction and researchers have extracted roads from lidar data alone as well as fused with passive imagery.
State University of New York College of Environmental Science and Forestry
Featured Paper by

Gerry Mitchell, Gerry Mitchell

The availability of over 45,000 accurately surveyed ground points covering an area of 1,000 km2 in central Eritrea has enabled comprehensive accuracy assessments of elevation mapping from IKONOS, GeoEye-1, WorldView-1 and WorldView-2 stereo satellite photos. The ground survey points were acquired for a base metal mining exploration gravity survey. All of the ground points were surveyed with Real Time Kinematic GPS instruments and are accurate to 2 cm. The IKONOS, GeoEye-1 and WorldView-1 stereo photos were each registered to a single ground control point, and the WorldView-2 stereo photos were registered to two ground control points. Each of the stereo pairs covers a slightly different ground area.
PhotoSat Information Ltd.
Featured Paper by

Bernard Kumi-Boateng, C. B. Boye and Issaka Yakubu

Spatial information from remotely sensed data provides an effective solution to land use/land cover change detection. The study was carried out to detect land use/land cover change from 1990 to 2007 in the Tarkwa Municipality. Remote sensing technique was used for this change detection and to assess its implications for the management of future urban development. The data used for the assessment included temporal Landsat satellite images of a 20 km radius of Tarkwa for the years 1990, 2000 and 2007 as well as 162 ground reference points.
University of Mines and Technology
Featured Paper by

Gerry Mitchell, Michael Ehling

A significant technological advance has been achieved by applying concepts and software developed for oil and gas exploration seismic data processing to produce detailed elevation maps from the new generation of high resolution satellite photos. We call this a geophysical processing system since the system is developed by geophysicists, using geophysical processing tools, including a 3D seismic workstation, and the processors never view the photos in stereo. PhotoSat has recast the stereo satellite elevation mapping problem so that it closely resembles oil and gas exploration seismic processing.
PhotoSat Information Ltd.
Featured Paper by

Yun-Ting Su and James Bethel

The objective of this work is to develop new methods for efficient automatic 3D modeling of existing industrial installations from point cloud data. Traditionally, cylinder feature extraction algorithms utilize 5D Hough transforms, resulting in impractically high computational complexity. A more efficient approach uses a 2D Hough transform to estimate orientation followed by a 3D Hough transform to detect position, but still has extensive runtimes and lacks robustness in dense point cloud data.
Purdue University
Featured Paper by

Chokri Koussa and Mathieu Koehl

Nowadays, sharing and querying spatial data through Internet has been become ubiquitous and easier in term of visualization and analysis. Thus, GIS (Geographic Information System) is no more an isolated application used by a limited number of users, but essentially a worldwide shared set of complex geo-applications. Any more, many concepts combining both GIS and Internet have been occurred, i.e. WebGIS, Internet-Based GIS, GIS Web mapping, etc. Nowadays, the application of the 3rd dimension in Internet-based GIS, with rare exceptions, is restricted and limited to research work. Thus, this paper proposes a contribution in 3D GIS deployment over Internet.
TRIO/INSA de Strasbourg
Featured Paper by

Yeosang Yoon, Michael Durand and Carolyn J. Merry

This paper presents the methods for estimating river depths to evaluate the potential for characterizing river depth from the Surface Water and Ocean Topography (SWOT) satellite observations. The SWOT mission is a swath mapping radar altimeter that will measure inland water surface elevation (WSE). Since the SWOT satellite will be launched during the 2013-2016 time frame, we generated synthetic SWOT WSE measurements for the entire Ohio River Basin.
The Ohio State University
Featured Paper by

Jaehong Oh, Charles K. Toth and Dorota A. Grejner-Brzezinska

For airborne surveys, direct georeferencing has become the primary source for EOPs (Exterior Orientation Parameters) determination since integrated GPS/INS (Global Positioning System/Inertial Navigation System) systems were introduced. However, there is still need for alternative indirect georeferencing since there are remote, inaccessible areas that lack a geodetic infrastructure and thus GPS/INS-based georeferencing is not feasible.
The Ohio State University
Featured Paper by

Harendra S. Teotia and Djail Santos

The present study was conducted from remotely sensed data and GIS technology for resources management of Sume area in Semi-Arid region of Paraiba State. A variety of supervised classification methods has been applied for resources management and land development in the study area. Under this study the SPOT data of the year of 2003 were processed with ERDAS 7.5 & ERDAS imagine Software in the Laboratory of Remote Sensing and GIS, operating on a high performance micro-computer.
University of Paraiba
Featured Paper by

Alexander Wiechert and Michael Gruber

Dense Matching is used to match a huge number of pixels automatically to generate a surface model from a set of overlapping digital images. Once a DSM has been processed, it then can be used to generate a so called true-ortho image. Such a true-ortho image has significant advantages over a standard ortho image.
Vexcel Imaging Austria
Featured Paper by

Michael Leslar, Gordon Perry and Keith McNease

This paper discusses the deployment and results of a recent rail line survey for the purpose of conducting an asset inventory of rail side hardware and engineering design work. The study area involved the use of the Lynx Mobile Mapper to collect mobile terrestrial lidar data along a section of a commuter / freight rail in Austin, Texas. The section of rail in question is known locally as the “Red Line”.
Optech Incorporated
Featured Paper by

Hee Cheon Yun, Joon Kyu Park, Sung Soon Lee and Min Gyu Kim

Analysis of land-cover using remote sensing is utilized in many fields. In this study, spectral information is extracted using ASTER and IKONOS Images during the same period. And characteristics of the roads surface were grasped through analysis of Spectral Information Library of Korea Institute of Geoscience and Mineral Resources (KIGAM) and NASA Jet Propulsion Laboratory (NASA JPL). As a result, deterioration of road is grasped and it will be expected to utilize as the basic data for road management connected with statistic data such as traffic information and so on.
Chungnam National University
Featured Paper by

Asli Dogru, Gonul Toz and Haluk Ozener

The studies of recent crustal movements are based on analyses of repeated geodetic measurements, and their combination with results of geophysical and geological investigations. It is obvious that a single data producer cannot produce useful datasets and information without integrating data from others because one scientist’s results become another’s data. So, the problem to be solved naturally has an interdisciplinary character. However, earth scientists traditionally work on one aspect of the problem and they have a tradition of sharing of data but they are willing to share it if asked.
Bogazici University Kandilli Observatory and Earthquake Research Institute Geodesy Department
Featured Paper by

Ejaz Hussain and Jie Shan

Mapping land cover in urban areas helps understanding the complexity of the urban landscape and environments. High resolution image data effectively captures such urban complexities and offers great potential for mapping the urban features in detail. The land cover information derived from remote sensing data has proven its usefulness for a wide range of urban applications.
Purdue University
Featured Paper by

Young Yang and Carol J. Friedland

A new algorithm for predicting building rooftop displacements in individual aerial photos utilizing the lens location at the time of photographing and the 3D coordinates of rooftops is proposed in this paper. Based on camera calibration and mathematical relationships, the algorithm will be implemented through unprocessed 1 foot resolution aerial photographs and an approximated rooftop model.
Louisiana State University
Featured Paper by

Piroska Zaletnyik, Sandor Laky and Charles K. Toth

Most commercial LIDAR systems temporarily record the entire laser pulse echo signal, called full-waveform, as a function of time to extract the return pulses at data acquisition level in real-time; typically up to 4-5 returns. The new generation of airborne laser scanners, the full-waveform LiDAR systems, are not only able to digitize but can record the entire backscattered signal of each emitted pulse, which provides the possibility of further analyzing the waveform and, thus, obtaining additional information about the reflecting object and its geometric and physical characteristics.
The Ohio State University
Featured Paper by

Mattieu Bach and Sylvie Daniel

This paper proposes a new tool for close range photogrammetry survey. It has been designed to assist non-expert users when conducting 3D survey of infrastructures. Close range photogrammetry requires specific acquisition setup in order to build precise and accurate 3D model. While an expert user will know where to locate his camera stations and how to overcome terrain hindrance in order to still comply with his precision requirement, a non-expert user may be clueless. The proposed guide aims at informing the user about his current acquisition choices and their impacts on the resulting 3D model. The paper presents the solution we designed and the various components it includes. Some results are also provided.
Université Laval
Featured Paper by

Mohamed Shafee, Kevin Lim, Robert Ryerson, Ihsan Sadiq and Ahmed Rasheed

The Government of the Republic of Maldives has received financing from the International Development Association (IDA) toward the cost of the Maldives Environmental Management Project, part of which was to develop a National Geographic Information System (NGIS) Strategic Framework and Implementation Plan. The development objective of the project is to strengthen the capacity for environmental management in the Maldives, by addressing some of the human resource constraints and informational impediments to improved environmental management.
Department of National Planning
Featured Paper by

Davina White and Megan Lewis

The Australian Great Artesian Basin mound springs are unique wetland ecosystems of great ecological, scientific, economic importance and culturally significant for indigenous Australians. In recent decades the ecological sustainability of the springs has become uncertain as demands for this precious water resource increase. Research methods are being developed using hyperspectral remote sensing for mapping and monitoring the sensitivity of spring vegetation to mining and pastoral water allocations and land use.
The University of Adelaide
Featured Paper by

Bingcai Zhang and William Smith

It is a trivial task for a five-year-old child to recognize and name an object such as a car, house, or building. However, it is a challenging process to identify and label these same objects automatically in a digital image. In the last three decades, researchers have used radiometric properties to identify objects in digital imagery. The supervised image classification algorithm groups similar image pixels based on their values. This approach has proven to be successful, yet it is reaching its theoretical limitation. For example, it is impossible to identify a car based only on color. A five-year-old child uses color, 3-D geometric shape, and other properties such as doors and wheels to identify a car.
BAE Systems
Featured Paper by

Sooyoung Kim

The availability of 3D surface data is crucial for several industrial, public, and military applications. Light Detection And Ranging (LiDAR) is an active sensor system capable of collecting 3D information from an object surface using laser pulses. Accurate and dense LiDAR data can be utilized for georeferencing of photogrammetric data and segmentation of 3D buildings. LiDAR data contaminated by systematic errors cannot guarantee the achievement of the expected accuracy and discrepancies might occur between overlapping strips. This paper presents an alternative method for LiDAR system calibration.
University of Calgary,
Featured Paper by

Richard Ladstädter, Michael Gruber, Alexander Wiechert

Digital large forma aerial cameras typically use several cones and several sensors (CCDs) to achieve the large format. The sub images collected by the individual sensors are then stitched together to one large format image. The geometric accuracy of the final stitched image depends significantly on the quality of the stitching algorithm. This has been improved over the years and residuals of 20% of the CCD pixel size or better can be achieved under project conditions.
Microsoft Photogrammetry
Featured Paper by

Kyoungjin Park and Alper Yilmaz

Depending on relations and transient properties, real world events or physical settings can be represented with different types of network structures. To realize this purpose, a social network topology becomes a complex and a scale free network. In this paper, we propose to use this topology to represent road networks. Generally speaking, road networks and their spatial relations reside on a plane, which generates a specific network structure termed as a planar network.
The Ohio State University
Featured Paper by

David Piekny

PCI Geomatics, in response to needs in the airphoto production market, have developed a high-performance image processing system called the GeoImaging Accelerator (GXL), based on multi-core and Graphical Processing Unit (GPU) microchip advances. This system was used as a template for an ortho-mosaic extension to the UltraMap processing chain for UltraCam imagery.
PCI Geomatics
Featured Paper by

Chandi Witharana, Thomas Meyer, Daniel L. Civco and Jeffrey Osleeb

A storm surge that accompanies a hurricane creates a major threat to humans and the near-shore built environment. Improving the analysis and identification of risk to vulnerable communities from storm-surge damage is crucial for risk-reduction policy making in coastal cities and towns. Storm surges can damage buildings’ structures and their contents; however, content-damage assessment methodologies are not well studied. This study developed and implemented a conceptual framework to estimate flood-damage vulnerability to building contents.
University of Connecticut
Featured Paper by

Marouan Bouali

Images provided by several imaging spectrometers are often contaminated with stripes. This artifact compromises the visual quality and radiometric integrity of measured data. Although a large number of destriping algorithms have been recently suggested, most of them provide results that display residual stripes if not strong distortion from the original signal. To overcome this issue, we introduce a robust methodology using a gradient-based iterative destriping algorithm (GBIDA). Statistical assumptions used in previous methods such as histogram matching are replaced with a more realistic geometrical consideration on the images spatial gradient. An iterative scheme is then used in order to isolate the striping effect from the original image prior to processing.
Featured Paper by

Joon Mook Kang, Joon Kyu Park and Min Gyu Kim

Although disaster prevention measures are very important, accurate investigation of damages and effective restoration are also crucial for understanding and dealing with forest fires. Collection of accurate information about forest fire damage is a difficult task because it usually occurs in far field mountainous regions and involves wide areas making field survey a very challenging task. Remote sensing by satellite image is used to get consecutive information about the range and ecological change of the damaged area.
Chungnam National University
Featured Paper by

Mohamed Mostafa and Joe Hutton

Airborne Digital Frame Camera Systems have been used in the last few years in various mapping projects around the world. Although they have proved to be a viable replacement to the traditional film cameras, their theoretical accuracy estimates have not been published, except occasionally by camera vendors who have demonstrated system accuracy and practical capabilities under certain flying conditions.
APPLANIX Corporation
Featured Paper by

Charles Taylor, John T. Dolloff, Matt Bower and Scott B. Miller

Video metadata are often of lower absolute accuracy than desired for exploitation and tracking, and are often recorded at a lower rate than the video frame rate. In these circumstances it is beneficial to perform georegistration of the video to reference data in order to improve geopositioning accuracy or to assess the geopositioning accuracy. Manual georegistration is much slower than real-time, and previously existing automated techniques require specialized hardware.
BAE Systems
Featured Paper by

Eldon Puckrin, Caroline-Stéphanie Turcotte, Pierre Lahaie, Denis Dubé, Vincent Farley, Philippe Lagueux, Frédérick Marcotte and Martin Chamberland

Airborne hyperspectral ground mapping is being used in an ever-increasing extent for numerous applications in the military, geology and environmental fields. The different regions of the electromagnetic spectrum help produce information of differing nature. The visible, near-infrared and short-wave infrared radiation (400 nm to 2.5 μm) has been mostly used to analyze reflected solar light, while the mid-wave (3 to 5 μm) and long-wave (8 to 12 μm or thermal) infrared senses the self-emission of molecules directly, enabling the acquisition of data during night time.
Telops Inc.
Featured Paper by

Aparajithan Sampath, Don Moe, Jon Christopherson and Gregory Stensaas

The U.S. Geological Survey (USGS) has developed the first of a series of geometric test ranges over Sioux Falls, South Dakota. The purposes of these test ranges are for evaluating, validating and characterizing high resolution satellite and aerial images. The Sioux Falls test range uses accurate and standardized high resolution aerial orthophotos as a reference dataset to compare and characterize the geometric accuracy of satellite and aerial images. This paper first provides a report on the characteristics of the test range and the accuracy of the reference data. The paper goes on to show the use of automated image assessment methodology and results for the geometric assessment of GeoEye image using the reference imagery over the test range.
Earth Resources Observation and Science (EROS) Center
Featured Paper by

Chenghai Yang, James H. Everitt and John A. Goolsby

Giant reed (Arundo donax L.) is an invasive weed throughout the southern half of the United States with the densest stands growing along the coastal rivers of southern California and the Rio Grande in Texas. The objective of this study was to use aerial photography to map giant reed infestations and estimate infested areas along the Texas- Mexico portion of the Rio Grande. Aerial color-infrared (CIR) photographs (each covering approximately a 2.4 km by 2.4 km area with 20-30% overlaps) were taken along the Rio Grande between Brownsville and El Paso, Texas in June and July 2002.
Featured Paper by

Abduwasit Ghulam, Reda Amer and Timothy M. Kusky

This paper proposes a method to find gold deposits in the Eastern Desert of Egypt. Different methods including various classification methods, principle component transform (PCT), band ratios, and a constrained energy minimization technique are evaluated for their performance for hydrothermal alteration zone mapping. First, these techniques are carried out to highlight known gold deposits over the Sukari Gold Mine. Then, the techniques are applied to different areas to search for sites that have similar spectral and other signatures in the processed images, with the idea that they may have conditions similar to those of the known gold deposits.
Saint Louis University
Featured Paper by

Louise Mathews

Displaying and analyzing changes and trends in agriculture over time is becoming a more important topic of conversation from the aspects of agricultural production, increasing urban footprints, changes in farming practices, and general planning activities. Detecting change in agriculture over time requires historical data, such as imagery, or potentially vector based historical information. The USDA Farm Service Agency (FSA) Aerial Photography Field Office (APFO) has a massive archive of historical imagery reaching back to the 1950s.
USDA-FSA-Aerial Photography Field Office
Featured Paper by

Sendo Wang, Yi-Hsing Tseng and Ayman F. Habib

Building models are conventionally reconstructed by measuring their vertices point-by-point in a digital photogrammetric workstation (DPW), which is time and labor consuming process. Although aerial photos implicitly provide 3D information of buildings, LiDAR systems directly provide high density and accurate point cloud coordinates. However, LiDAR data cannot accurately represent the building boundaries. To take advantage of both systems, we propose Floating Model and a tailored least-squares model-data fitting (LSMDF) algorithm in this paper.
National Cheng Kung University
Featured Paper by

Demetrio Zourarakis

In Kentucky’s Eastern Coal Fields physiographic region, mining and reclamation activities often result in stream modification, potentially leading to the creation of new ponds and reservoirs. Incorporation of these changes as part of updates to the National Hydrography Dataset is proceeding slowly. The 2001-2005 Kentucky Landscape Census modernization of the NLCD01 demonstrated the extremely dynamic characteristic of the landscape in that region of the state where major land cover changes are due to resource extraction.
Kentucky Division of Geographic Information
Featured Paper by

Hossein Arefi, Peter Reinartz and Michael Hahn

3D city models have a wide range of applications such as mobile navigation, urban planning, telecommunication, and tourism. The generation of high resolution Digital Surface Models (DSMs), in particular from airborne LIDAR data have found a major attraction of researchers in this field due to their high accuracy and high density of points. In this paper, a new approach is proposed for the generation of 3D models of buildings that are extracted from a high resolution DSM. Particularly the complex buildings containing several smaller building parts are discussed. The building parts are individually modeled by a projection-based method and merged to form the final 3D model. The following building parts are considered to be modeled in the proposed approach: (1) flat roof, (2) gable roof, (3) hipped roof, and (4) mansard-shaped roof buildings. The complex buildings are decomposed into several parts according to the number of existing ridge lines.
Stuttgart University of Applied Sciences
Featured Paper by

Jean-François Mas, Azucena Pérez Vega, Keith Clarke

Land use/cover changes (LUCC) are significant to a range of issues central to the study of global environmental change. Over the last decades, a variety of models of LUCC have been developed to predict the location and patterns of land use/cover dynamics. The simulation procedures of most computational LUCC models can be sub-divided into three basic steps, 1) a non-spatial procedure which calculates the quantity of each transition, 2) a spatial procedure which allocates changes to the more likely locations and eventually replicates the patterns of the landscape and, 3) an evaluation procedure which compares a simulated land use/cover map with the true map of the same date.
University of California,
Featured Paper by

William Teng, Richard de Jeu, Paul Doraiswamy, Steve Kempler, Iliana Mladenova and Harlan Shannon

A primary goal of the U.S. Department of Agriculture (USDA) is to expand markets for U.S. agricultural products and support global economic development. The USDA World Agricultural Outlook Board (WAOB) supports this goal by developing monthly World Agricultural Supply and Demand Estimates (WASDE) for the U.S. and major foreign producing countries. Because weather has a significant impact on crop progress, conditions, and production, WAOB prepares frequent agricultural weather assessments, in the GIS-based, Global Agricultural Decision Support Environment (GLADSE).
Wyle Information Systems, Inc.
Featured Paper by

Chenghai Yang, James H. Everitt and Reginald S. Fletcher

The Rio Grande of west Texas contains by far the largest infestation of saltcedar (Tamarix spp.) in Texas. The objective of this study was to evaluate airborne hyperspectral imagery and different classification techniques for mapping saltcedar infestations. Hyperspectral imagery with 102 usable bands covering a spectral range of 475-845 nm was acquired from two sites along the Rio Grande in west Texas in December 2003 and 2004 when saltcedar was undergoing color change.
Featured Paper by

Clive Fraser, Ida Jazayeri and Simon Cronk

Feature-based matching is commonly employed for object surface reconstruction in topographic and stereo close-range photogrammetry, but rarely in conjunction with convergent photogrammetric networks. This paper describes a new feature-based matching approach to automated 3D object reconstruction from highly convergent, multi-image networks. Geometric diversity and redundancy in the network design are a distinct advantage with the approach, which commences with automatic exterior orientation. The FAST interest operator is then applied to Wallis-filtered images to extract interest points, and matching of interest points is carried out to yield a dense 3D point cloud. The surface point data is subsequently converted to a triangulated mesh via a Poisson Surface Reconstruction technique, and textured.
University of Melbourne
Featured Paper by

Chokri Koussa and Mathieu Koehl

Nowadays, sharing and querying spatial data through Internet has been become ubiquitous and easier in term of visualization and analysis. Thus, GIS (Geographic Information System) is no more an isolated application used by a limited number of users, but essentially a worldwide shared set of complex geo-applications. Any more, many concepts combining both GIS and Internet have been occurred, i.e. WebGIS, Internet-Based GIS, GIS Web mapping, etc.
TRIO / INSA de Strasbourg
Featured Paper by

Julien Li-Chee-Ming and Costas Armenakis

The acquisition of spatial data is a critical operation in situations where conditions are unfavourable for manoperated mapping systems. Such situations include monitoring constrained environments, emergency response, and firefighting. Low-cost unpiloted vehicle platforms offer a great opportunity for developing mobile mapping systems, enabling the automated collection of spatial data in critical environments.
York University
Featured Paper by

Kevin Lim, Paul Treitz, Murray Woods, Dave Nesbitt and David Etheridge

Literature from the past two decades documents how airborne LIDAR can be used to predict forest inventory variables, such as basal area, volume, and biomass, at the plot and stand level. However, a key question that has yet to be fully addressed, and that the forest industry continues to ask as it considers operationalizing the use of LIDAR in forest resource inventories, is: What is the optimal point density for predicting forest inventory variables?
Ontario Ministry of Natural Resources
Featured Paper by

Meghan Graham MacLean, Alexis M. Rudko, Dr. Russell G. Congalton

Given the recent no-cost availability of Landsat imagery through the United States Geological Survey (USGS), a more detailed examination of the changes in habitat and reflectance from this imagery is now possible. The Coastal Watershed in New Hampshire is an area covering 990 square miles of varied habitat, from areas that are well developed, to large tidal bays and managed forests. The watershed is also home to around 155 species of rare plants, 18 rare species of animals, and 35 different rare natural communities and ecosystems. However, due to pressure from rapid development, fragmentation, invasive species, water quality degradation, and climate change, many of these habitats are disappearing faster than ever.
University of New Hampshire
Featured Paper by

Woojin Park and Kiyun Yu

A cartographic line feature is a succession of segments with various geometric and visual properties. Thus, it is useful to segment and enrich the line data in order to apply the best algorithm and the appropriate parameters to each section. In this study, a hybrid method of line simplification that combines two different line simplification methods is proposed and applied to a topographic map.
Seoul National University
Featured Paper by

Mark Hoover, Daniel L. Civco and Adam Whelchel

Given their location in the intertidal zone, coastal salt marshes will be one of the ecosystems first affected by sea level rise. As sea level rise increases, marshes will begin to migrate inland if surrounding topography and land use provide suitable habitat. The question remains whether or not this migration inland will provide enough new habitat to sustain current marsh area as the seaward edge of the marsh begins to become permanently inundated. This project created an ArcGIS tool using Python computer language that projects future salt marsh habitat under a variety of sea level rise and land use scenarios.
University of Connecticut
Featured Paper by

Sooyoung Kim

Understanding that various tree species have characteristics similar to each other, it follows that some type of hierarchical classification scheme could be used to identify species using LIDAR data. Cluster analysis, one of the unsupervised classification methods, was conducted for all individual trees using the k-medoid algorithm. Instead of using one-step cluster analysis, a stepwise cluster analysis was developed based on the statistical criteria to test hierarchical relationships between species. Two seasonal LIDAR datasets collected at the Washington Park Arboretum in Seattle, Washington were used for this study.
University of Washington
Featured Paper by

Petra Krahwinkler and Jürgen Rossmann

Current tree species classification algorithms often use high-resolution satellite data and are in many cases based on forest stands. The spectral bands of the sensors used for data acquisition are given and cannot be chosen regarding the needs of tree species classification. Furthermore distinction is often limited to deciduous trees, coniferous trees and other land use classes.
RWTH Aachen University
Featured Paper by

Taeyoon Lee and Taejung Kim

Many people use a commercial image database such as Google Earth Image map from the internet. We propose a method by volumetric shadow analysis for generation of 3D building models from the commercial image database. The proposed method can extract building heights and building footprints using volumetric shadows analysis from a single image. No external control points are required. Instead, the proposed method needs the directions of the sun and the camera is needed.
Inha University
Featured Paper by

Manoranjan Majji, Brein Flewelling, Brent Macomber, John L. Junkins, Anup B. Katake, Hyochung Bang

An optimal linear translation and attitude estimation (OLTAE) algorithm is proposed to register 3dimensional point clouds based on the image features associated with the individual data sets. In LIDAR applications, such images are created by projecting the point cloud data on to an image plane. Physically, this image is the return light intensity observed by the LIDAR imager that is usually available to the analyst for post processing. Associated image features are extracted from the corresponding images by utilizing the recent advances in computational vision and image processing. Features thus obtained have unique descriptors that automate the matching process and ease the solution of the so-called correspondence problem.
Texas A&M University
Featured Paper by

Xuelian Meng, Nate Currit, Le Wang, Xiaojun Yang

Human activities have transformed at least one-third of the Earth’s surface in the past century, and land-cover and land-use analyses play a critical role in human-environment interaction analysis. Land-use analysis, especially for residential land uses, is comparably more challenging than land cover as land use categories relate less directly to the physical reflectance obtained by remote sensors; however, land-use classification recently attracts a growing attention because of the advancement in high-resolution imagery and the demand to improve intra-urban structure mapping.
Texas A&M University
Featured Paper by

Paul Pope and Doug Ranken

A method for abstracting a 3D model by shrinking a triangular mesh, defined upon a best fitting ellipsoid surrounding the model, onto the model's surface has been previously described. This "shrinkwrap" process enables a semi-regular mesh to be defined upon an object's surface. This creates a useful data structure for conducting remote sensing simulations and image processing. However, using a best fitting ellipsoid having a graticule-based tessellation to seed the shrinkwrap process suffers from a mesh which is too dense at the poles.
Los Alamos National Laboratory
Featured Paper by

Steven Steinberg, Sheila Lakshmi Steinberg, Jason Barnes and Sarah Keeble

Individuals possess unique knowledge about their community and surrounding environment. To incorporate this information into our research on rural entrepreneurship, we employed public participation GIS. Public participation GIS (PPGIS) involves a union of academic practice with local knowledge production. PPGIS gives voice to marginalized groups by allowing them to share their knowledge (e.g. thoughts, expertise and observations) and visualize data in a sociospatial context.
Humboldt State University
Featured Paper by

Charles K. Toth, Hui Ju and Dorota A. Grejner-Brzezinska

The paper reports about investigations into the utilization of the SIFT algorithm to support image matching between different image domains. The Scale-Invariant Feature Transformation, proposed by Lowe in 1999, is a highly robust technique that has been widely used in the computer vision community. Though, SIFT is known in mapping circles, so far its use is rather limited. The objective of our study is to assess the performance of SIFT when it is applied to imagery acquired by different sensors and on different platforms. For testing, four image datasets from different sensors were considered, including airborne and satellite imagery, and LiDAR intensity and elevation.
The Ohio State University
Featured Paper by

Sunil Bhaskaran

Paper describes a methodology to improve classification of urban features by using object oriented classification techniques. Mapping urban features from satellite data is challenging due to several reasons. Urban objects are spectrally similar and they have different shapes, sizes, patterns, all of which contribute to their low accuracy. For example, features such as roofs, roads, and other spectrally similar objects like open space (concrete) appear spectrally similar leading to their low accuracy in classification. Very high resolution satellite data (Ikonos) was classified using both supervised and object oriented classification techniques. A combination of spectral, spatial attributes and membership functions were employed for mapping urban features.
Department of Environmental, Geographic and Geological Sciences Lehman College, City University of New York (CUNY)
Featured Paper by

Yishuo Huang and Shang-Yuh Lin

The areas covered by a river play an important role in analyzing the causes of debris flows. The damage caused by debris flows costs over a thousand million dollars in Taiwan. Usually, after natural disasters like typhoons and earthquakes have occurred, the topographic conditions are changed. How to locate these topographic changes is an important research issue for protecting people from natural disaster-related damages. Remote sensing is an efficient way to study topographic conditions occurring before and after in areas affected by natural disasters.
Chaoyang University of Technology
Featured Paper by

Erin Justice, Brandon Cheung, William Danse, Kyle Myrick, Matthew Willis, Susan Prichard and J. W. Skiles

Forests are one of the largest stores of terrestrial carbon and can be a significant source of carbon during wildfire events. To mitigate the severity of fires and corresponding carbon flux, forest managers can utilize a variety of fuel treatments including tree harvesting and prescribed burning. The relative effect of fuel treatments on carbon flux from a 70,000-ha fire, the Tripod Complex fire, in north central Washington State was evaluated. Ground-based measurements to determine forest biomass were done in ten treatment units inside the Tripod Complex fire perimeter.
University of Washington
Featured Paper by

Yasuyo Makido, Yoshiki Yamagata, Shobhakar Dhakal

For the past few decades, urbanization has been occurring at a rapid pace. The relationship between urban density and energy consumption, which are accompanied by emissions of greenhouse gases, is still not conclusive. This study examined the relationship between urban form and carbon dioxide (CO2) emissions from urban areas in 50 cities in Japan. We employed satellite imagery to delineate urban areas. The maps of administrative boundary were used to clip urban regions from each scene of satellite image. The clipped images were classified into a binary class: urban built-up and others.
National Institute for Environmental Studies
Featured Paper by

Ahmed Mohamed, Jerry L. Holechek, Derek W. Bailey and Carol L. Campbell

Honey mesquite (Prosopis glandulosa Torr.) invasion can negatively impact grazing capacity, spatial livestock distribution, and forage production in Chihuahuan Desert rangelands. High spatial resolution remote sensing data can be used to develop maps of shrub encroachment for arid rangelands. The objective of this study was to use high resolution satellite imagery to map changes in honey mesquite abundance and to evaluate honey mesquite impacts at the Chihuahuan Desert Rangeland Research Center (CDRRC) in south-central New Mexico, USA. QuickBird Ortho-ready satellite image with spatial resolution of 2.4 m in multispectral bands and 0.6 m in panchromatic band was acquired for the study area on May 19, 2009.
Department of Animal and Range Sciences
Featured Paper by

Asli Ozdarici and Zuhal Akyurek

This study presents a comprehensive evaluation of the most frequently used non-adaptive and adaptive Synthetic Aperture Radar (SAR) filtering techniques called; Mean, Median, Lee, Lee-sigma, Local Region, Frost and Gamma- MAP. Envisat ASAR Precision Image (PI) mode data acquired on August 2008 is used to examine the filtering techniques. Three test sites (~ 4 km2), located in Karacabey of Bursa in northwest of Turkey are selected. Two of them consist of homogenous agricultural fields and the third one is selected from lake.
Middle East Technical University
Featured Paper by

Erwan Renaudin, Ayman F. Habib, Eunju Kwak and Jacky Chow

This paper focuses on the use of control linear features extraction from a terrestrial laser scanning (TLS) surface to produce a good datum definition for a close range photogrammetric model. The difficulty of identifying conjugate points between both datasets is overcome by the derivation of automatic features extraction. Hence, the extracted features from the terrestrial measurements represent a good candidate for co-registration. Field work is performed to validate the proposed methods.
University of Calgary
Featured Paper by

Ramesh Sivanpillai

WyomingView, a university-led consortium in Wyoming, is part of the AmericaView ( program funded by the USGS. One of the goals of WyomingView is to identify and provide learning opportunities in remote sensing for undergraduate students. Remote sensing research projects provide a way for students to apply the concepts and methods introduced in the classroom for addressing issues pertaining to land cover mapping, change assessment, and wildlife habitat monitoring.
University of Wyoming
Featured Paper by

Attila Berényi, Tamas Lovas and Arpad Barsi

Terrestrial laser scanning broadens its application areas in civil engineering, and claims even more attention in engineering survey. The paper shows the results of a laboratory test of a laser scanner. The laboratory test involved complex 3D accuracy analysis, reflectivity investigation of different colors and materials used at construction sites and observation of reflection angles. Instead of focusing on a particular laser scanner, the accuracy analysis put the emphasis on the evaluation procedure that enables the calibration and validation of different laser scanners.
Department of Photogrammetry and Geoinformatics
Featured Paper by

Hainan Chen and Walter Volker

In this paper we introduce an approach for quality inspection based on map matching and data integration. Two datasets are the input for the process. At first, the edges of the datasets are matched manually. Then, the form of each matching pair is determined and corresponding nodes are matched. In the final step, quality measurements on different levels of granularity are calculated. On the dataset level, a global geometric quality measure based on the evaluation of adjacency matrices is proposed. Furthermore, completeness and topologic similarity are measured. On the matching pair level, geometric modeling, geometric similarity and attribute similarity are analyzed.
Universitaet Stuttgart
Featured Paper by

Taejung Kim, Jae-In Kim, Dongwook Kim and Jaehoon Jeong

While ground sampling distance has been misleadingly used as the most popular measure of image quality among image providers, satellite manufacturers and general public, user community may be keen to the interpretability of remotely sensed imagery. As one measure of image interpretability, the NIIRS (National Imagery Interpretability Rating Scale) has been used. Currently, this measure is included in the metadata of some high resolution satellite images. Traditionally, the NIIRS is estimated by deploying specially made tarps of uniform reflectance. Due to this, estimating NIIRS is costly and not carried out often.
Inha University
Featured Paper by

Sang-Hoon Lee

Up to now the satellite imagery with very-high resolution of less than or equal to 1m resolution can be obtained from panchromatic sensors, while multispectral data are available only with mid-high or moderate spatial resolution. Image fusion techniques can effectively integrate the spatial detail of panchromatic data and the spectral characteristics of multispectral images. It is important for human’s visual interpretation or computer’s autonomous recognition to improve the accuracy in analyzing land-cover types.
Kyungwon University
Featured Paper by

Dumitru Salajanu and Dennis M. Jacobs

Forest inventory and analysis data are used to monitor the presence and extent of certain non-native invasive species. Effective control of its spread requires quality spatial distribution information. There is no clear consensus why some ecosystems are more favorable to non-native species. The objective of this study is to evaluate the relative contribution of geo-spatial predictor variables, individually and groups, to the overall classification accuracy of the model.
USDA Forest Service
Featured Paper by

John Schott, Rolando V. Raqueno, Nina G. Raqueno and Scott D. Brown

The next generation of Landsat sensors will incorporate many changes from the existing whiskbroom designs. In particular, the Operational Land Imager (OLI) incorporates a multispectral pushbroom design which has different bands imaging the same spot on the Earth at slightly different angles and times. This requires more involved knowledge of the sensor and the scene, as input to more complex processing algorithms, to form spectrally registered images.
Rochester Institute of Technology
Featured Paper by

Syed Irteza Ali Khan and Christopher F. Barnes

Sigma-Trees associated with residual vector quantization (RVQ) has been used for image-driven data mining to detect features and objects in a digital image with a degree of success. RVQ methods based on σ-tree structures have been designed to implement successive refinement of information for image segmentation. In such implementations, RVQ based novel methods are devised for pixel-block mining, pattern similarity scoring, class label assignments and attribute mining (Barnes, 2007a). Direct sum σ-tree structures are used for near-neighbor similarity scoring. The variable bit-plane data representations produced by σ-tree structures not only provides an approach for image content segmentation and a structure for formulation of Bayesian classification, but also offers a solution to the challenge of high computational costs involved in pixel-block similarity searching.
Georgia Institute of Technology
Featured Paper by

Michael Gruber and Alexander Wiechert

Large format Digital aerial cameras were introduced 10 years ago in Amsterdam at the ISPRS Conference in July 2000. Only about 5 years later the digital large format aerial cameras had overtaken the majority of photogrammetric image production. The new technology did change the photogrammetric workflow, replaced well known components and made the end-to-end all digital production chain available to the photogrammetric community. Helpful if not essential was the development of computers, storage media, software products and other IT components which are the basis of any digital processing scenario.
Microsoft Photogrammetry
Featured Paper by

John Hatzopoulos, Athina Santorinaiou and Dimitra Gitakou

This work deals with the management of landscape at water territories and water areas. The work is focused on a case study in the prefecture of Corinthia, Greece. Algorithms and remote sensing / GIS technology are used to develop a model of comparative temporal approach to the landscapes of principal urban area which is located at coastal zone to provide information for flood protection. Algorithms using remote sensing / GIS technology of best practices are also developed for the coordination of public policies in the field of integrated interventions at modern urban water landscapes compatible to the methods for flood protection.
University of the Aegean
Featured Paper by

Ming-Chih Hung, R. Paul Duckworth, Yi-Hwa Wu and Jamie Patton

Blackland Research and Extension Center (BREC), Texas AgriLIFE Research, Texas A&M University System maintains a system, the Agricultural Policy/Environmental eXtender (APEX) model, which allows users to input agricultural and environmental data for a particular field or area, store and output that data in a predetermined format. Initial development of this system required text input from users, including spatial data and attribute data. Over the years, improvements were made to create a graphic user interface (GUI) to allow interactive input from users.
Northwest Missouri State University
Featured Paper by

Yaron Katzil and Yerach Doytsher

Orthophoto map, ortho-rectified image, constitutes a central component of the mapping and GIS activities in general and of photogrammetric mapping products in particular. Technological developments of recent decades lead to the ability to produce color digital orthophotos from aerial and satellite imagery. As the source imagery acquired by the sensors are of high quality and density, radio metrical quality of the orthophoto products is dependent on the ability to perform a high quality sampling of the colors from the original image into the target ortho-rectified image.
Israel Institute of Technology
Featured Paper by

Ayman F. Habib, Ana Paula Kersting, Changjae Kim, Eunju Kwak and Yousif Alghamdi

Current advances in digital and electronic products have led to the availability of inexpensive and reliable Medium Format Digital Cameras (MFDCs) that can be used in many photogrammetric applications. In this research, the impact of camera and system mounting parameters calibration on object space reconstruction is investigated under different georeferencing scenarios (i.e., indirect georeferencing and integrated sensor orientation).
University of Calgary
Featured Paper by

Erwin Kruck

During the last decades, bundle triangulation has not been discussed as much as in the earlier years. Algorithms are known and developed, and software packages are available. This paper reflects all requirements and developments in this field during the last 30 years.
Dr. Kruck & Co, GbR
Featured Paper by

I-Chieh Lee1, Shaojun He1, Po-Lun Lai2, Alper Yilmaz2

Interest points on the building façade are the basic element for 3-D building modeling and texturing. Grouping these points to the same or separate buildings is a fundamental process for establishing building models and detecting building boundaries. The grouping process is generally achieved by analyzing the geometric relation and the distances between the points in the object space, which requires precise interior and exterior orientation camera parameters.
The Ohio State University
Featured Paper by

Henry Theiss

Geopositioning from optical sensors onboard airborne platforms, e.g. UAVs, requires a sensor model and subsequently a means to perform rigorous covariance propagation of position and attitude parameters to the ground space. Builders of such imaging systems often do not know precisely what elements to report, and how to report them, in the data stream along with the image pixel data. As such, it is mutually beneficial – to both builders of an imaging system and to exploiters of the imagery – to define a minimum set of metadata elements, including associated covariance information, which shall be populated with values.
National Geospatial-Intelligence Agency (IAI, contractor)
Featured Paper by

Wenhua Zhang, Laura N. Calandra, Lindi J. Quackenbush, Jungho Im and Stephen A. Teale

Sirex noctilio is an invasive insect native to Europe and north Africa that has the potential to devastate North American softwoods. The current extent of Sirex infestations in the United States has been approximated using expensive, and marginally effective, ground-based surveys. This study is part of a project aimed at using remote sensing to perform individual tree-based assessment of Sirex infestation.
State University of New York
Featured Paper by

S. Bruce Blundell and Randy Swanson

High-resolution digital elevation models (DEMs) created from small-footprint airborne Light Detection and Ranging (LIDAR) scanning system data contain information that can reveal micro-terrain features and their spatial patterns, especially in the absence of dense forest overstory. We applied numerical techniques to a bare-earth gridded LIDAR DEM of a region containing both coniferous canopy and open rugged terrain to calculate directed second derivatives for each matrix location by fitting cubic splines to the data. Thresholding the results allowed the creation of spatially correlated layers of (1) micro-terrain features identified by rapid slope change and (2) associated azimuthal directions of maximum slope change. Canopy layers were created from first and last return LIDAR grids using a thresholded differencing algorithm.
U.S. Army Geospatial Center
Featured Paper by

René R. Colditz, Pedro Maeda, Gerardo López, Isabel Cruz and Rainer Ressl

Automatic derivation of land cover information from optical satellite data is one of the main research topics in remote sensing. Accurate land cover products are needed for biogeochemical modelling and biodiversity analysis. Land transformation processes are analyzed in the framework of global change studies. While many global land cover products fulfil the needs for driving global models, their accuracy is insufficient for regional to continental applications. The North American Land Change Monitoring System is a tri-national initiative to provide accurate, automatically generated annual land cover and land change products. Its first product, the land cover map of North America for 2005, has recently been completed and is published by the intergovernmental Commission for Environmental Cooperation.
National Commission for the Knowledge and Use of the Biodiversity (CONABIO)
Featured Paper by

John T. Dolloff and Reuben Settergren

WorldView-1 is a high precision, commercial, satellite imaging sensor. This paper presents a recent assessment of its 3D extraction accuracy based on 50 overlapping and contiguous stereo pairs of WorldView-1 imagery covering approximately 50,000 square kilometers of the earth’s surface. Absolute horizontal and vertical accuracy are assessed for both ground point extractions based on single stereo pairs of imagery, and for ground point extractions based on the fusion or combination of information across all stereo pairs of imagery. Absolute accuracy is both predicted using error propagation and measured using ground truth (check) points.
BAE Systems
Featured Paper by

Arun Kulkarni and Kiran Parimi

Aquatic plant infestations affect water quality and city water supply and impede commercial and recreational traffic through navigable waterways. It affects activities such as boating, swimming and fishing. Traditional field based mapping and monitoring of extend invasive aquatic plant present several challenges including inaccessibility of areas for ground truth data collection and identifying rapid changes in aquatic plant location.
The University of Texas at Tyler
Featured Paper by

Adam Patrick Nyaruhuma, Markus Gerke and George Vosselman

Airborne oblique images are increasingly acquired because of the availability of low cost sensor platforms, being equipped with multiple camera systems. These images are mainly used for visualization such as the Bird’s eye in Microsoft’s Bing Maps. Because of their characteristics, such as a varying scale and the need for combining several images for complete information of all sides of a 3D object, oblique images are up to now only seldomly used for automatic topographic data acquisition and update. However, side views allow better identification of imaged objects and may be useful for verification of building datasets.
University of Twente
Featured Paper by

Alexis M. Rudko and Russell G. Congalton

The common loon (Gavia immer) is a water bird that lives throughout northern North America. In New Hampshire, the Loon Preservation Committee (LPC) has monitored loons for over thirty years. This long-term monitoring program has allowed for the analysis of patterns in the loons’ distribution. A GIS model to evaluate loon habitat was created in 2002 using all the loon data collected up until that time. This model was used to predict where loon occupancy occurs based on parameters that were determined to be statistically significant.
University of New Hampshire
Featured Paper by

Lin Yan, Jiangye Yuan, Liang Cheng, DeLiang Wang and Ron Li

This paper presents the research results on the integration approach using a biologically inspired algorithm (LEGION) and a geometrically-inspired method (GAC) for target extraction from multiple-source remote-sensing imageries, specifically EO-1 Hyperion hyperspectral (30-meter resolution), and IKONOS multispectral (4-meter resolution) images. An automatic road-extraction algorithm based on LEGION (Locally Excitatory Globally Inhibitory Oscillator Networks, a neurocomputational framework for image segmentation) was developed to extract main roads from EO-1 Hyperion imagery.
The Ohio State University
Featured Paper by

Michael Downey, Robert Uebbing, Stephan Gehrke and Ulrich Beisl

Leica XPro 4.0 for processing ADS imagery has introduced new radiometric correction models to reduce image bias created by atmospheric and ground reflections. Most notable is the availability of atmospheric corrections based on the equation of radiative transfer and a correction that deals with bidirectional reflectance effects on the ground (BRDF) based on a modified Walthall model. To obtain best results, it has been proven that land body masks determined by classification of the near infrared and red bands are required for the BRDF correction. The creation of such land masks is automated in the Leica XPro processing chain. The masks are embedded in the image statistics that are utilized by the image viewer and orthorectification process to apply the BRDF model.
Leica Geosystems Inc.
Featured Paper by

Darion Grant, James Bethel and Melba M. Crawford

The absence of explicit point correspondences among overlapping terrestrial laser scanning data limits the performance of automatic registration schemes. The popular Iterative Closest Point (ICP) and its variants, solve the correspondence problem implicitly while minimizing some distance metric. Other approaches perform low-level processing to obtain surface properties from which correspondences are established, and then they conduct the registration, which, in general is not as accurate as the ICP methods. This paper presents an approach that addresses the registration issue by dealing directly with the correspondence problem, without the use of derivative surface properties, except for local surface tangents
Purdue University
Featured Paper by

Peter Guth

Many common digital elevation models (DEMs) use geographic coordinates, including NED, DTED, SRTM, GDEM, and NEXTMAP, with horizontal spacings in the range of 1/9" to 3". Many GIS operations, such as slope/aspect, reflectance or hillshade mapping, and viewsheds, require geometric knowledge of the relationship between horizontal and vertical spacing. Published discussions implicitly assume a rectangular UTM or UTM-like grid because they refer to a single value for data spacing, and some commercial software either requires reinterpolation to UTM before algorithms will work or allows only a single factor to relate degrees to meters, ignoring the significant changes that occur with latitude.
United States Naval Academy
Featured Paper by

Rasmus Houborg and Matthew Rodell

NASA's Gravity Recovery and Climate Experiment (GRACE) satellites measure time variations of the Earth's gravity field enabling reliable detection of spatio-temporal variations in total terrestrial water storage (TWS), including groundwater. The U.S. and North American Drought Monitors are two of the premier drought monitoring products available to decision-makers for assessing and minimizing drought impacts, but they rely heavily on precipitation indices and do not currently incorporate systematic observations of deep soil moisture and groundwater storage conditions.
University of Maryland
Featured Paper by

Arun Kulkarni, Richard Bankert and Michael Hadjimichael

In this paper we present two neural network models to estimate tropical cyclone (TC) intensity using data obtained from the Special Sensor Microwave Imager (SSM/I) on board Defense Meteorological Satellite Program (DMSP) satellites. A set of 322 SSM/I images (512 km x 512 km), centered on a TC with known best-track intensity, has been used to compare the two neural network based approaches. We extract a set of features that include TC eye characteristics, rain band features, relative date, and location among others.
Featured Paper by

I-Chieh Lee, Liang Cheng, Ron Li

A method for shoreline extraction has been developed that is based on mean-shift segmentation and the integration of LiDAR data, satellite imagery and aerial orthophotos. This method first classifies LiDAR points as belonging either to a water surface or to land. The classification criterion is the homogenous nature of the Near-Infrared (N-IR) reflection of the water surface, the elevation, and color distribution. Subsequently a shoreline can be extracted by tracing the boundary between these two categories, water and land.
The Ohio State University
Featured Paper by

Eugene Levin, Alexander Zarnowski, Cheryl A. Cohen and Robert Liimakka

This paper describes a research which attempts to combine the advantages of human analysts and computer automated processing for efficient human computer symbiosis in geospatial data fusion. Specifically, experiments performed were related to the analysis of the potential use of inhomogeneous (composed of different sources) stereo pairs for mapping dataset actualization.
Michigan State University
Featured Paper by

Yawen Liu and Zhen Guan

The building façade model is the most prominent streetscape feature for rendering virtual street models. This paper aims to develop a method to identify street obstacles which hinder photo-realistic texturing of building façade. In order to achieve this, the presented method focuses on two research components. Firstly, we develop an effective grid-based line analysis method to differentiate image elements including building façade from the ones containing street obstacles.
Wuhan University
Featured Paper by

Keith Blonquist and Robert T. Pack

We present a method for the 3D reconstruction of objects from images captured in a surveillance setting using uncalibrated hand-held cameras. The images considered are of distant objects occupying a small portion of the field-ofview (FOV); have been captured in a non-systematic manner from varying aspects, distances, and angles; and have no a priori target information for 3D coordinates or scale. The current algorithms used to estimate camera orientations and perform 3D reconstruction rely to some degree on initial approximations of camera orientation and/or 3D coordinates of the target object or control points. Parameter initialization in most surveillance applications is problematic due to the non-regular camera arrangements and lack of target information. Using some of the strengths of the orthogonal model, this paper presents a robust initial approximation method suited to the demands of surveillance imagery.
Utah State University
Featured Paper by

Mostafa A-B Ebrahim

Digital close-range photogrammetry became one of the most important measurements tools for the moving objects. To take measurements of moving objects, at least two images must be taken from different positions at the same instance. To take images at the same instant, two cameras must be connected together using special equipment to give the order to the camera once a button has been pressed. To avoid complication and to save money, two video cameras can be used from different positions. Once the movies are transferred to the computer, two images (one frame from each movie) can be selected as right and left images. Miss-selection of any of the frames or both will affect the 3D measurements accuracy.
Faculty of Engineering, Assiut University
Featured Paper by

James Hurd and Daniel L. Civco

Connecticut’s Changing Landscape (CCL) is an ongoing project of the Center for Landuse Education and Research (CLEAR) at The University of Connecticut that currently consists of five dates of land cover (1985, 1990, 1995, 2002, and 2006) based on Landsat satellite imagery that spans a 21 year period for the state of Connecticut. This data has become a major resource for researchers, state agencies, regional and local planners, and the public to examine and assess land cover trends in the state.
University of Connecticut
Featured Paper by

Philipp Meixner, Franz Leberl

Accurate and realistic 3-dimensional models of urban environments are increasingly important for applications like virtual tourism, city planning, internet search and many emerging opportunities in the context of “ambient intelligence”. Applications like Bing-Maps or Google Earth are offering virtual models of many major urban areas worldwide. While initially, these data sets support visualization they are inherently capable of addressing a broader purpose. On the horizon are urban models that consist of semantically interpreted objects; an urban 3D visualization will be computer generated, with a fundamental advantage: the urban models can be searched based on object classes.
Institute for Computer Graphics and Vision
Featured Paper by

Yuming Wen, Maria Kottermair, Mohammad Golabi and Shahram Khosrowpanah

Soil erosion in the form of badlands is a common phenomenon throughout southern Guam. Badlands compared to any other land cover have the highest erosion rate. Consequently, they contribute the highest amount of sediments to the marine environment. Both human and natural factors may be responsible for badland development. To manage soil erosion, specifically on badlands, in an effective way, a better understanding of the processes associated with badland dynamics is essential.
University of Guam
Featured Paper by

Jesús Anaya and Emilio Chuvieco

Burned area products derived from satellite images are used as input to determine biomass burning emissions. Appropriate assessment of the accuracy of burned area products is required to assess reliable emissions. This document provides validation results for four burned area products: GlobCarbon, MCD45, L3JRC and AQS. The study area is at the northern South American savannas along the Orinoco River since there is a rapid conversion of Amazonian forest to cattle pasture. A validation method was applied from 2001 to 2007 based on the comparison of commission and omission errors from 20 confusion matrixes with their respective efficient solution. Efficient solutions were determined using the “Pareto Boundary”. This method allows estimating the potential for improving burned area algorithms as well as evaluating the effect of pixel size on accuracy. A landscape metric was used to analyze the weight of the fragments’ distribution on global accuracy.
Universidad de Alcalá
Featured Paper by

Ivan Detchev, Axel Ebeling and Ayman F. Habib

With the decreasing price of electronics, more and more consumer grade or off-the-shelf digital cameras are flooding the market. This makes their use in close-range photogrammetric applications an inexpensive and convenient task. However, in order to be trusted for high quality object space reconstruction, these cameras must go through a calibration procedure. The purpose of this research project is to present a simple and practical way of performing camera calibration, so that the cost of the calibration will be proportional to the cost of the camera.
Department of Geomatics Engineering, University of Calgary
Featured Paper by

John Hatzopoulos and Christina Efthimiatou

Insular environment is characterized by a series of particularities which have been given a special attention in the past years at international level. This work investigates and describes the most important elements of these particularities in an effort to develop models of sustainable management.
University of the Aegean
Featured Paper by

Juwon Hwangbo, Yunhang Chen and Rongxing Li

To build HiRISE image network with the best possible precision and accuracy, technical issues involving sensor geometry and absolute positioning need to be resolved. High-frequency random patterns, or “jitter”, in the rotation angles cause disagreements between HiRISE CCDs. To generate seamless topographic products, it is important to achieve coherence in the exterior orientation parameters between multiple CCDs. Also, new images should be registered to the existing global geodetic control network to achieve absolute positioning in global scale.
The Ohio State University
Featured Paper by

Michal Jama, Chris Lewis and Dale Schinstock

Bundle Adjustment (BA) is an important step in deriving high quality terrain products from stereo pairs of satellite imagery. Most satellites use pushbroom cameras for image acquisition due to improved signal to noise ratio. The BA process is not as well constrained for pushbroom imagery as it is for frame cameras. Due to the loss of perspective along track additional degrees of freedom are present in BA.
Kansas State University
Featured Paper by

KyoHyouk Kim and Jie Shan

This paper presents an approach to LiDAR point clouds segmentation for building roofs. Normal vectors determined from the original LiDAR point clouds are used as a homogeneous criterion representing planar roof planes. Segmentation is then performed iteratively by minimizing an energy function formulated as a multiphase level set framework. With multiphase level set formulation, up to n disjoint sub-regions can be segmented at a time by log2n level set functions.
Purdue University
Featured Paper by

Supannika Potithep and Rikie Suzuki

The Moderate Resolution Imaging Spectroradiometer (MODIS) is the primary NASA Earth Observing System instrument monitoring the seasonality of global terrestrial vegetation. MODIS products, such as the MODIS Vegetation Index (VI), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), are commonly used in ecological modeling. The difference spatial resolutions (250, 500, 1000 and 5600 m) may cause the error in the output.
Japan Agency for Marine-Earth Science and Technology
Featured Paper by

Urho Rauhala

Mathematical photogrammetry and geodesy pioneered some early applications of matrix and tensor calculus in the general theory of estimation and statistics. This theory together with fast transforms of signal processing was expanded since 1968 in author’s inventions of array algebra and loop inverses in Finland and Sweden, leading to 1975 employment with Duane Brown and other US pioneers of this field. Some 1975-83 R&D projects developed the fast finite element network adjustment for automated terrain edit, compression and progressive sampling of digital correlation and Least Squares Matching (LSM).
Array algebra lectures and consultation
Featured Paper by

Mark H. DeVisser

Sensitivity of environmental models to changes in variable parameters can be measured in a variety of ways. One simple, yet effect way to judge model sensitivity is to calculate a sensitivity index (Hamby, 1994). Standard sensitivity indices compare the standardized percent change in a parameter threshold of interest and the model's state variable from the default model to an altered model run, resulting in a normalized dimensionless index value (Lenhart et al., 2002; Millington et al., 2009).
Michigan State University
Featured Paper by

Ola Hall, Helena Eriksson, Peter Nolskog and Tomas Bergström

Tick-borne encephalitis virus (TBEV) is a high-impact pathogen with approximately 12,000 diagnoses annually in Eurasia. The virus causes a variety of clinical manifestations, with neurological symptoms in up to 30% of the patients. Lethality in Europe is <2% but post-encephalitis syndrome is seen in over 40% of the infected patients and results in substantial impairment in quality of life. Over the last decade a drastic increase in TBEV incidence has been reported throughout Western Europe
University of Göteborg
Featured Paper by

Rasmus Houborg, Martha C. Anderson and William P. Kustas

This study investigates the utility of integrating remotely sensed estimates of leaf chlorophyll (Cab) into a thermalbased Two-Source Energy Balance (TSEB) model that estimates land-surface CO2 and energy fluxes using an analytical, light-use-efficiency (LUE) based model of canopy resistance. The LUE model component computes canopy-scale carbon assimilation and transpiration fluxes and incorporates LUE modifications from a nominal (species-dependent) value (LUEn) in response to variations in environmental conditions.
University of Maryland
Featured Paper by

Daroonwan Kamthonkiat and Honda Kiyoshi

Nowadays, the impacts of climate change on crop production become evidently adverse and location-specific. In our study, real-time weather and flux observation systems were developed and operated in a large rainfed rice field in Trakan Phutphon and Det Udom Districts in Ubon Ratchathani Province to monitor and understand the climate fluctuation in the area. Various observation systems have supplied the data necessary for impact analysis using agrohydrological crop models.
Thammasat University
Featured Paper by

Sherry Lehmuth, Puja Agrawal, Daniel Fisher, Andrew Nguyen, Kristin N. Roberts, Anthony W. Strawa, Lee F. Johnson and J. W. Skiles

Air quality in the San Joaquin Valley (SJV) has failed to meet federal and state particulate matter (PM) regulation standards for the past several years. While previous studies show strong correlations between the Moderate Resolution Imaging Spectroradiometer (MODIS) derived Aerosol Optical Thickness (AOT) and surface PM measurements on the East Coast of the United States, weak correlations have been found on the West Coast. Specific causes for this discrepancy have not been identified, nor has a solution been found.
Featured Paper by

Rongxing Li, Shaojun He, Boris Skopljak, Jinwei Jiang, Pingbo Tang, Alper Yilmaz, Martin Banks and Charles Oman

In future lunar exploration, spatial disorientation may become an increasingly critical issue for astronauts as the area of exploration increases from several kilometers in the Apollo missions to over one hundred kilometers from the main base station in future landed missions.
The Ohio State University
Featured Paper by

Nathan Short, Prather Lanier, Kevin Kochersberger and Lynn Abbott

This paper is concerned with stereo imaging for three-dimensional range estimation. The usual assumption for a two-camera system is that both cameras are stationary with respect to one another. In some imaging environments, however, physical vibrations are unavoidable. If these vibrations induce small movements of the cameras relative to each other, then the accuracy of any range estimates based on binocular disparity will suffer.
Virginia Tech
Featured Paper by

Stephan Gehrke

Orthoimage mosaics presume radiometric adaptation of the individual images, which is referred to as relative radiometric normalization (RRN). This paper presents an in-house developed RRN approach that aims for optimal adaptation of large blocks of Leica ADS line-scanner imagery for subsequent mosaicking. It assumes orthorectified and radiometrically preprocessed input image data – with camera calibration, atmospheric and BRDF corrections applied as described in a companion paper – but still allows for the adaptation of bigger radiometric differences. The RRN model incorporates the adaptation of brightness and contrast, both varying throughout each image according to location-dependent polynomials.
North West Geomatics
Featured Paper by

Jinha Jung, Melba M. Crawford and Sanghoon Lee

LIDAR is an active remote sensing technology which performs range measurements from the sensor and converts them into 3D coordinates of the Earth's surface. Recent advances in LIDAR hardware make it possible to digitize full waveforms of the returned energy. LIDAR waveform decomposition involves separating the return waveform into a mixture of Gaussians which is then used to characterize the original data. It plays an important role in LIDAR data processing because the resulting components are expected to represent reflection surfaces within waveform footprints and ultimately affect the interpretation of the data.
Kyungwon University
Featured Paper by

Michelle Newcomer, Janine E. Bird, Shaina M. Sabatine, Gabriel C. Sady, Ashley M. Stalzer, Tim A. Wheeler, Cindy Schmidt and J. W. Skiles

Bark beetle-induced tree mortality has increased over the last few decades, exacerbated by below-average precipitation and a loss of soil nutrients, forcing park managers to improve bark beetle monitoring techniques. Bark beetle dynamics were investigated during summer 2009 at 32 sites within Sequoia National Park, California with the aim of correlating field data with satellite imagery to provide forest managers with a more efficient methodology for tracking, monitoring, and forecasting bark beetle outbreaks.
NASA Ames Research Center

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