Remotely Sensed Data Segmentation under a Spatial Statistics Framework

Remotely Sensed Data Segmentation under a Spatial Statistics Framework

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In remote sensing, segmentation is a procedure of partitioning the domain of a remotely sensed dataset into meaningful regions which correspond to different land use and land cover (LULC) classes or part of them. So far, the remotely sensed data segmentation is still one of the most challenging prob...

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Bibliographic Details
Main Author: Li, Yu
Language:en
Published: 2010
Subjects:
Remote Sensing
segmentation
image processing
Synthetic Aperture Radar
LiDAR
texture image
Voronoi tessellation
marked point process
Bayesian inference
Geography
Online Access:http://hdl.handle.net/10012/4931

Internet

http://hdl.handle.net/10012/4931

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