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