A four-component decomposition of POLSAR images based on the coherency matrix

Author

Yamaguchi, Yoshio ; Yajima, Yuki ; Yamada, Hiroyoshi

Author_Institution

Fac. of Eng., Niigata Univ., Nigata

Volume

3

Issue

3

fYear

2006

fDate

7/1/2006 12:00:00 AM

Firstpage

292

Lastpage

296

Abstract

A four-component decomposition scheme of the coherency matrix is presented here for the analysis of polarimetric synthetic aperture radar (SAR) images. The coherency matrix is used to deal with nonreflection symmetric scattering case, which is an extension of covariance matrix approach. The same decomposition results have been obtained. The advantage of this approach is explicit expressions of four scattering powers in terms of scattering matrix elements, which serve the interpretation of polarimetric SAR data quantitatively

Keywords

covariance matrices; geophysical techniques; image processing; radar polarimetry; remote sensing by radar; synthetic aperture radar; POLSAR image decomposition; coherency matrix; covariance matrix; four-component decomposition; nonreflection symmetric scattering; polarimetric SAR; synthetic aperture radar; Covariance matrix; Image analysis; Matrix decomposition; Polarimetric synthetic aperture radar; Probability density function; Radar polarimetry; Radar scattering; Reflection; Symmetric matrices; Synthetic aperture radar; Coherency matrix; polarimetric synthetic aperture radar (POLSAR); radar polarimetry; scattering contribution decomposition;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2006.869986

Filename

1657991