DocumentCode :
3689934
Title :
Integration of information-theoretic tools for PolSAR image processing and analysis
Author :
Sidnei Sant´Anna;Corina da C. Freitas;Leonardo Torres;Alejandro C. Frery
Author_Institution :
Divisã
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
239
Lastpage :
242
Abstract :
Polarimetric Synthetic Aperture Radar (PolSAR) is having an increasingly positive impact in the Remote Sensing community since the launch of the first practical fully polarimetric sensor, AIRSAR, in 1985. The availability and relevance of these data makes it important to offer users state-of-the-art techniques for PolSAR image processing and analysis. One of the most used platforms is PolSARpro, a freely available software which includes tools for data processing, extraction, analysis and visualization. As PolSARpro has not yet incorporated some of the advances stemming from the Information Theory framework, in this work we present the current state of the development of a system which integrates such tools using TerraLib.
Keywords :
"Stochastic processes","Image segmentation","Remote sensing","Data models","Entropy","Training"
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN :
2153-6996
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2015.7325744
Filename :
7325744
Link To Document :
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