Multi-baseline polarimetric SAR data classification using the complex Wishart distribution and principal component analysis

Author

Ferro-Famil, L. ; Reigber, A. ; Pottier, E. ; Boerner, W.M.

Author_Institution

A. R. T. Lab., Univ. of Rennes, France

Volume

6

fYear

2001

fDate

2001

Firstpage

2712

Abstract

In this paper is introduced a classification approach for multi-baseline polarimetric interferometric SAR data sets, based on a principal component analysis of coherent scattering vectors. From the Wishart probability density function of a restricted data set, is defined a maximum likelihood decision rule to perform an iterative adaptive classification

Keywords

geophysical signal processing; geophysical techniques; image classification; principal component analysis; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; InSAR; SAR; Wishart probability density function; coherent scattering vectors; complex Wishart distribution; geophysical measurement technique; image classification; interferometric SAR; iterative adaptive classification; land surface; maximum likelihood decision rule; multi-baseline SAR; multibaseline method; principal component analysis; radar polarimetry; radar remote sensing; synthetic aperture radar; terrain mapping; Arithmetic; Covariance matrix; Eigenvalues and eigenfunctions; Layout; Matrix decomposition; Pixel; Probability density function; Radar imaging; Radar scattering; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.978138

Filename

978138