INDEPENDENT COMPONENT ANALYSIS BASED INCOHERENT TARGET DECOMPOSITIONS FOR POLARIMETRIC SAR DATA - PRACTICAL ASPECTS

被引：0
|
作者：
Vasile, Gabriel [1 ]
机构：
[1] Univ Grenoble Alpes, CNRS, Grenoble Image sPeach Signal Automat Lab, Grenoble INP,GIPSA Lab, Grenoble, France
来源：
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词：
Independent Component Analysis; PolSAR; speckle filtering; ICA;
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：
The Independent Component Analysis (ICA) has been recently introduced as a reliable alternative to identify canonical scattering mechanisms within PolSAR images. This paper addresses an important practical aspect for applying such methods on real data, namely speckle filtering with ICA. A novel algorithm is introduced by adjusting the Lee's sigma filter to the particular nature of the Touzi's polarimetric decomposition. In its current form, it allows the use of the ICA mixing matrix in the derived speckle filter.
引用
收藏
页码：5859 / 5862
页数：4
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