DocumentCode :
3326428
Title :
Statistical properties of speckle and full polarimetric filters in SAR
Author :
Séry, Franck ; Lopès, Armand
Author_Institution :
CNRS, Toulouse, France
Volume :
2
fYear :
1997
fDate :
3-8 Aug 1997
Firstpage :
761
Abstract :
Reducing the speckle effects in polarimetric data implies the use of statistical models for the speckle. A well known model is the product model which assumes the same texture variable for all the elements of the covariance matrix (CM). The authors present 2 models which allow differences between channels. For each model, a filtering technique is also presented. Finally, an analysis of texture variations is realized on several natural and non natural clutters
Keywords :
geophysical signal processing; geophysical techniques; radar imaging; radar polarimetry; radar signal processing; remote sensing by radar; speckle; synthetic aperture radar; SAR; covariance matrix; geophysical measurement technique; land surface; model; polarimetric filter; radar polarimetry; radar remote sensing; signal processing; speckle; statistical properties; synthetic aperture radar; terrain mapping; texture variable; Additive noise; Covariance matrix; Filtering; Filters; Maximum likelihood estimation; Polarization; Speckle; Surface texture; Telephony; Zirconium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
Type :
conf
DOI :
10.1109/IGARSS.1997.615249
Filename :
615249
Link To Document :
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