A Hierarchical Extended Multiple-Component Scattering Decomposition of Polarimetric SAR Interferometry

被引:4
|
作者
Wang, Yu [1 ,2 ]
Yu, Weidong [1 ,2 ]
Liu, Xiuqing [1 ]
Wang, Chunle [1 ]
机构
[1] Chinese Acad Sci, Inst Elect, Dept Space Microwave Remote Sensing Syst, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100039, Peoples R China
关键词
Solid modeling; Buildings; Synthetic aperture radar; Coherence; Matrix decomposition; Interferometry; model-based decomposition; multicomponent decomposition; overestimation of volume scattering (OVS); polarimetric synthetic aperture radar interferometry (PolInSAR); UNITARY TRANSFORMATION; POWER DECOMPOSITION; MODEL; CLASSIFICATION;
D O I
10.1109/LGRS.2019.2942090
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
In this letter, a hierarchical extended multi-component decomposition method (ExMCSM) of polarimetric synthetic aperture radar interferometry (PolInSAR) is proposed. The target of this method is to overcome the overestimation of volume scattering (OVS) and to mitigate the mixed ambiguity of the scattering mechanism. In the proposed method, prior to the decomposition, orientation angle compensation (OAC), and helix angle compensation (HAC) are applied to the coherency matrix to reduce the complexity of the operation. The polarimetric interferometric similarity parameter (PISP) is used to refine the volume scattering models, and the optimal coherence magnitude (gamma(opt3)) is used as a criterion for the adaptive selection of these volume scattering models. The efficiency of the proposed method is demonstrated using two different test sites. Experimental results demonstrate that the proposed method can effectively represent the scattering characteristics of the ambiguous regions.
引用
收藏
页码:1193 / 1197
页数:5
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