A Foreground/Background Separation Framework for Interpreting Polarimetric SAR Images

被引：5

作者：

Liu, Bin ^{[1
]}

Wang, Huanyu ^{[1
]}

Wang, Kaizhi ^{[1
]}

Liu, Xingzhao ^{[1
]}

Yu, Wenxian ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2011年 / 8卷 / 02期

关键词：

Foreground/background separation; polarimetric synthetic aperture radar images; UNSUPERVISED CLASSIFICATION; SEGMENTATION;

D O I：

10.1109/LGRS.2010.2064283

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, we present a novel foreground/background separation (FBS) framework for interpreting polarimetric synthetic aperture radar (PolSAR) images. The FBS framework takes the spatial relations between pixels into consideration and incorporates the advantages of pairwise dissimilarity-based grouping schemes. The FBS method can separate specific targets and objects from the background, which is essential in an interpretation system. Multiple FBS operations can be integrated to interpret PolSAR images, flexibly fusing various inherent features of PolSAR data. Several PolSAR data sets are used to verify the proposed approach.

引用

页码：288 / 292

页数：5

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