ALTERNATIVE TO FOUR-COMPONENT DECOMPOSITION FOR POLARIMETRIC SAR

被引:1
|
作者
Zhang, J. X. [1 ]
Huang, G. M. [1 ]
Wei, J. J. [1 ]
Zhao, Z. [1 ]
机构
[1] Chinese Acad Surveying & Mapping, Inst Photogrammetry & Remote Sensing, Beijing 100830, Peoples R China
来源
关键词
Four-component decomposition; Generalized similarity parameter (GSP); Eigenvalue decomposition; Polarimetric SAR (PolSAR); SCATTERING POWER DECOMPOSITION; SIMILARITY; MODEL;
D O I
10.5194/isprsannals-III-7-207-2016
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
There are more unknowns than equations to solve for previous four-component decomposition methods. In this case, the nonnegative power of each scattering mechanism has to be determined with some assumptions and physical power constraints. This paper presents a new decomposition scheme, which models the measured matrix after polarimetric orientation angle (POA) compensation as a linear sum of five scattering mechanisms (i.e., odd-bounce scattering, double-bounce scattering, diffuse scattering, volume scattering, and helix scattering). And the volume scattering power is calculated by a slight modified NNED method, owing to this method considering the external volume scattering model from oblique dihedral structure. After the helix and volume scattering powers have been determined sequentially, the other three scattering powers are estimated by combining the generalized similarity parameter (GSP) and the eigenvalue decomposition. Among them, due to POA compensation, the diffuse scattering induced from a dihedral with a relative orientation of 45 degrees has negligible scattering power. Thus, the new method can be reduced as four-component decomposition automatically. And then the ALOS-2 PolSAR data covering Guiyang City, Guizhou Province, China were used to evaluate the performance of the new method in comparison with some classical decomposition methods (i.e. Y4R, S4R and G4U).
引用
收藏
页码:207 / 211
页数:5
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