All Categories : Bookmark and Share

Title : OPTIMAL PARAMETER DETERMINATION FOR MEAN-SHIFT SEGMENTATION-BASED SHORELINE EXTRACTION USING LIDAR DATA, AERIAL ORTHOPHOTOS, AND
Company : The Ohio State University
File Name : Lee_I_1.pdf
Size : 306702
Type : application/pdf
Date : 09-Jul-2010
Downloads : 4

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

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.
User Reviews More Reviews Review This File

Harris

Featured Video
Jobs
GIS Specialist for Metro Wastewater Reclamation District at Denver, Colorado
Upcoming Events
SUE Association at Capitol Skyline Hotel 10 “I” Eye Street, SW Washington, DC - Jul 26, 2018
2018 ENVI Analytics Symposium at The Brown Palace Hotel & Spa Denver CO - Aug 21 - 23, 2018
2018 South Florida GIS Expo at 650 Okeechobee Blvd West Palm Beach FL - Aug 23 - 24, 2018
SPTechCon 2018 at Sheraton Boston Hotel Boston MA - Aug 26 - 29, 2018
Canon: oce crystalPoint
Teledyne Optech
Bentley:RealityModeling



Internet Business Systems © 2018 Internet Business Systems, Inc.
25 North 14th Steet, Suite 710, San Jose, CA 95112
+1 (408) 882-6554 — 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 PolicyAdvertise