A Hybrid Polarimetric Decomposition Method Based on Combination of Scattering-Model and Eigenvector-Decomposition

Author

Chen, Huajie ; Zeng, Liang ; Lin, Yuesong

Author_Institution

Key Lab. of Fundamental Sci. for Nat. Defense-Commun. Inf. Transm. & Fusion Technol., Hangzhou Dianzi Univ., Hangzhou, China

fYear

2010

fDate

21-23 Oct. 2010

Firstpage

1

Lastpage

5

Abstract

Polarimetric decomposition methods are divided into two basic categories: Scattering-model based decomposition and eigenvector-based decomposition. The former has a clear physical meaning but may lead to negative power coefficient, while the latter is the opposite. So, a hybrid Polarimetric decomposition method based on combination of these two methods is proposed, avoiding the negative power coefficient and retaining physical meaning to some extent. The preliminary results of the experiment confirmed that the proposed method is effective for analysis of polarimetric sar images.

Keywords

eigenvalues and eigenfunctions; electromagnetic wave scattering; radar imaging; radar polarimetry; synthetic aperture radar; eigenvector decomposition; hybrid polarimetric decomposition method; negative power coefficient; polarimetric SAR images; scattering model based decomposition; Book reviews; Electronic mail; NASA; Presses; Remote sensing; Scattering; TV;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (CCPR), 2010 Chinese Conference on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-7209-3

Electronic_ISBN

978-1-4244-7210-9

Type

conf

DOI

10.1109/CCPR.2010.5659258

Filename

5659258