Mitigation of Reflection Symmetry Assumption and Negative Power Problems for the Model-Based Decomposition

	Mitigation of Reflection Symmetry Assumption and Negative Power Problems for the Model-Based Decomposition
	Hongzhong Li; Jiehong Chen; Qingquan Li; Guofeng Wu; Jinsong Chen
刊名	IEEE Transactions on Geoscience and Remote Sensing
	2016
英文摘要	The assumption of reflection symmetry is one of the major deficiencies for model-based decompositions. The introduction of helix scattering components can mitigate some of the impact of this assumption while simultaneously generating some new negative power problems. The helix mechanism has been developed in the Krogager coherent target decomposition where there is no negative power problem. Why do these problems happen in model-based decompositions? In this paper, we review the Krogager decomposition based on the coherency matrix form of the unified CTD model and come to the conclusion that the imaginary part of T23 is an overestimate of the helix contribution, which is the main cause of the problem. Furthermore, we review the techniques of symmetric scatterer transformation in the Cameron and Huynen decompositions and expand them to the multilook coherency matrix. Two new models of the nonlinear programming problem are proposed to get the transformed coherency matrix: 1) by subtracting the asymmetric component; and 2) by the procedure of con-diagonalization. A new parameter is established to measure the degree of reflection asymmetry of the coherency matrices. Experimental results in the L-band Airborne SAR (AIRSAR) San Francisco data show that the two new models can reduce the correlations between copolarized and crosspolarized channels significantly. In this case, the assumption of reflection symmetry is reasonable for the transformed coherency matrices, and negative power problems related to helix scattering no longer exist in the model-based decompositions; hence, the helix scattering component is not needed. Lastly, the Freeman and Durden decomposition has been applied to the transformed coherency matrices. Experimental results showed that the decomposition results can reflect the predominant characteristics of the ground objects.
收录类别	SCI
原文出处	http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=36
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10228]
专题	深圳先进技术研究院_数字所
作者单位	IEEE Transactions on Geoscience and Remote Sensing
推荐引用方式 GB/T 7714	Hongzhong Li,Jiehong Chen,Qingquan Li,et al. Mitigation of Reflection Symmetry Assumption and Negative Power Problems for the Model-Based Decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing,2016.
APA	Hongzhong Li,Jiehong Chen,Qingquan Li,Guofeng Wu,&Jinsong Chen.(2016).Mitigation of Reflection Symmetry Assumption and Negative Power Problems for the Model-Based Decomposition.IEEE Transactions on Geoscience and Remote Sensing.
MLA	Hongzhong Li,et al."Mitigation of Reflection Symmetry Assumption and Negative Power Problems for the Model-Based Decomposition".IEEE Transactions on Geoscience and Remote Sensing (2016).