Adaptive Two-Component Model-Based Decomposition for Polarimetric SAR Data Without Assumption of Reflection Symmetry.
文献类型:期刊论文
作者 | Li, Hongzhong; Li, Qingquan; Wu, Guofeng; Chen, Jinsong; Liang, Shouzhen |
刊名 | IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
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出版日期 | 2017 |
文献子类 | 期刊论文 |
英文摘要 | Fitting polarimetric synthetic aperture radar (PolSAR) data with adaptive scattering models is a promising way to mitigate the deficiencies of the model-based decomposition. Recently, Lee et al. have proposed a generalized decomposition model with several adaptive parameters, whereas the generalized model introduces too much freedom to be solved. In this paper, based on the Lee generalized decomposition model, an adaptive two-component decomposition model is proposed. The PolSAR coherency matrix is represented as the sum of two scattering mechanisms: coherent ground scattering and incoherent volume scattering. The proposed model is under three assumptions: 1) Surface and double scattering are coherent; 2) surface and double scattering are integrated as the ground scattering; and 3) the average polarimetric orientation angle (POA) of the volume (or Bragg) scattering is zero. As the proposed model is very difficult to solve directly, we adopted the exhaustion technique to find the best fit parameter set. The proposed model has three advantages: 1) It can successfully avoid the negative power problem; 2) it is considered without the assumption of reflection symmetry; and 3) the dominant scattering mechanism criterion is not needed in the process of model inversion. However, the proposed model has two disadvantages: 1) the attribution of the volume model becomes ambiguous; and 2) the assumption that sets the POA of the Bragg scattering component to zero is inconsistent with the actual scattering mechanism when there is a slope in the rough surface. The polarimetric AIRSAR L-band data of San Francisco and ESAR L-band data of Oberpfaffenhofen were used to show the efficiency of the proposed decomposition model. Statistical properties of typical areas showed that, except the sea surface and the urban area with building orientation angle about 45., the proposed model fits the PolSAR data very well. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/12497] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE |
推荐引用方式 GB/T 7714 | Li, Hongzhong,Li, Qingquan,Wu, Guofeng,et al. Adaptive Two-Component Model-Based Decomposition for Polarimetric SAR Data Without Assumption of Reflection Symmetry.[J]. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE,2017. |
APA | Li, Hongzhong,Li, Qingquan,Wu, Guofeng,Chen, Jinsong,&Liang, Shouzhen.(2017).Adaptive Two-Component Model-Based Decomposition for Polarimetric SAR Data Without Assumption of Reflection Symmetry..IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE. |
MLA | Li, Hongzhong,et al."Adaptive Two-Component Model-Based Decomposition for Polarimetric SAR Data Without Assumption of Reflection Symmetry.".IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017). |
入库方式: OAI收割
来源:深圳先进技术研究院
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