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Remote Sensing Technology and Application  2018, Vol. 33 Issue (5): 842-849    DOI: 10.11873/j.issn.1004-0323.2018.5.0842〖
    
Information Measure of Polarimetric SAR Coherence Matrix based on A Shannon Entropy
Li Jiaojiao1,2,Liu Yu1,Chen Kunshan1
(1.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensingand Digital Earth Chinese Academy of Sciences,Beijing,100101,China;2.University of Chinese Academy of Sciences,Beijing,100049,China)
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Abstract  The incoherent target decomposition of fully polarimetric SAR based on an average coherence matrix is a powerful means to characterize the targets.The objective of this study is to measure the information content contained in the average coherence matrix,which is usually not quantitatively estimated.In so doing,the Shannon entropy is used to assess the information content during the course of estimating the coherence matrix by applying the proper window size so that information loss may be minimized.Experimental results show that the average coherence matrix of different targets has different information content.For example,the information content for the Buildings is relatively low,under the same window size,and the increases almost linearly as the window size increases,while for ocean and vegetative area are comparatively high and the amount of information content increase rapidly at first,then become stable with the increasing of window size.The dependence of the information content on the window size remains quite similar for different time and frequency.It demonstrates that the Shannon entropy based information measure is robust and yet effective to quantitatively evaluate the target information content in average coherence matrix estimated,and thus it offers a fair criteria for determining the optimum window size to preserve maximum information content when estimating the average coherence matrix in SAR.
Key words:  Full-polarized SAR      Coherence matrix      Shannon entropy      Information content     
Received:  15 November 2017     
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Li Jiaojiao
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Chen Kunshan

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Li Jiaojiao,Liu Yu,Chen Kunshan. Information Measure of Polarimetric SAR Coherence Matrix based on A Shannon Entropy. Remote Sensing Technology and Application, 2018, 33(5): 842-849.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2018.5.0842〖     OR     http://www.rsta.ac.cn/EN/Y2018/V33/I5/842

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