ANALYSIS OF TEXTURE DISTRIBUTIONS OF POLARIMETRIC SAR DATA

被引：0
|
作者：
Deng, Xinping [1 ]
Lopez-Martinez, Carlos [1 ]
机构：
[1] Univ Politecn Cataluna, Signal Theory & Commun Dept, ES-08034 Barcelona, Spain
来源：
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年
关键词：
Polarimetric SAR; Statistical Models; Texture; DENSITY-FUNCTION ESTIMATION; K-DISTRIBUTION; CLUTTER; SPECKLE; IMAGES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the scattering model, also known as random walk model, is studied with the objective to obtain a physical explanation for the texture of polarimetric SAR data. Statistical analysis of the simulated data shows that both the fluctuation of the scatterer number and the mixture of different scatterers can give non-Gaussian distributed data. The mixture of scatterers will lead to extremely heterogeneous appearance, which may be a clue to analyze the urban areas in polarimetric SAR data. Besides, the distribution of the scatterer response has effect only when the number of scatterers in a resolution cell is small, which appears in very high resolution data.
引用
收藏
页码：3802 / 3805
页数：4
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