A method for characterizing a target in polarimetric radar remote sensing

Author

Gao, Mingxing ; Yang, Jian ; Peng, Yingning

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

2004

fDate

24-27 Aug. 2004

Firstpage

316

Lastpage

319

Abstract

A method for characterizing a target is proposed in this paper, based on the eigenvalue decomposition of a scattering matrix. From this method, a set of parameters is derived. The parameters are not only independent of the spans of the scattering matrices, but also independent of the target orientation angles. With these parameters, we enhance the contrast between the road and forest of a SAR image, demonstrating the effectiveness of the proposed parameters.

Keywords

S-matrix theory; eigenvalues and eigenfunctions; feature extraction; image classification; image enhancement; radar imaging; radar polarimetry; radar target recognition; remote sensing by radar; synthetic aperture radar; SAR image; feature detection; polarimetric radar remote sensing; radar polarimetry; road detection; road/forest contrast enhancement; scattering matrix eigenvalue decomposition; target characterization; target classification; target orientation angle independent characterization; target recognition; Eigenvalues and eigenfunctions; Equations; Matrix decomposition; Polarization; Radar remote sensing; Radar scattering; Reflection; Scattering parameters; Symmetric matrices; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Radio Science Conference, 2004. Proceedings. 2004 Asia-Pacific

Print_ISBN

0-7803-8404-0

Type

conf

DOI

10.1109/APRASC.2004.1422470

Filename

1422470