All Categories : Bookmark and Share

Title : A BIOLOGICALLY AND GEOMETRICALLY INSPIRED APPROACH TO TARGET EXTRACTION FROM MULTIPLE-SOURCE REMOTE-SENSING IMAGERY
Company : The Ohio State University
File Name : yan.pdf
Size : 455011
Type : application/pdf
Date : 29-Aug-2010
Downloads : 5

Rate This File
5 Stars
4 Stars
3 Stars
2 Stars
1 Star

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.
User Reviews More Reviews Review This File
GeoRover Mobile Download Trial>>


Featured Video
Jobs
Business Partner Manager for Cityworks - Azteca Systems, LLC at Sandy, UT
GIS Analyst II for Air Worldwide at Boston, MA
Senior Structural Engineer for Design Everest at San Francisco, CA
Mechanical Engineer for IDEX Corporation at West Jordan,, UT
Upcoming Events
SPTechCon 2016, Dec 5 - 8, 2016, San Francisco, CA at San Francisco CA - Dec 5 - 8, 2016
RoboUniverse San Diego at San Diego CA - Dec 14 - 15, 2016
DGI 2017 at QEII Centre London United Kingdom - Jan 23 - 25, 2017
Trimble
Teledyne Optech
CADalog.com - Countless CAD add-ons, plug-ins and more.



Internet Business Systems © 2016 Internet Business Systems, Inc.
595 Millich Dr., Suite 216, Campbell, CA 95008
+1 (408)-337-6870 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation TechJobsCafe - Technical Jobs and Resumes  MCADCafe - Mechanical Design and Engineering ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy Policy