Bivariate Gamma Distributions for Multisensor Sar Images

Author

Chatelain, Florent ; Tourneret, Jean-Yves

Author_Institution

ENSEEIHT, Toulouse, France

Volume

3

fYear

2007

fDate

15-20 April 2007

Abstract

This paper addresses the problem of estimating the parameters of a family of bivariate gamma distributions whose margins have different shape parameters. These distributions are interesting to detect changes in two synthetic radar aperture (SAR) images acquired by different sensors and having different numbers of looks. The estimators based on the maximum likelihood method and the method of moments are studied for these distributions. An application to change detection is finally discussed.

Keywords

gamma distribution; maximum likelihood estimation; method of moments; radar imaging; sensor fusion; synthetic aperture radar; bivariate gamma distributions; change detection; maximum likelihood method; method of moments; multisensor SAR images; synthetic radar aperture; Image sensors; Maximum likelihood detection; Maximum likelihood estimation; Parameter estimation; Radar detection; Radar imaging; Sensor fusion; Sensor phenomena and characterization; Shape; Synthetic aperture radar; Gamma distributions; maximum likelihood estimation; multisensor systems; synthetic aperture imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.367067

Filename

4217940