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      Change Detection in SAR CCD Based on the Likelihood Change Statistics

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          Abstract

          The Coherent Change Detection (CCD) measures the phase difference in repeat passes in SAR images and is a powerful technique for detecting minute changes between two synthetic aperture radar images taken at different times. Nevertheless, the CCD has two problems. These are the high false-alarm rates and threshold selection. To deal with these problems using the likelihood change, this study makes two improvements. First, the model parameters are optimized by the maximum likelihood method and more accurate and robust parameters are obtained by using the sliding window in the neighborhood operations. Second, the automatic change in the threshold method is proposed based on the histogram characteristics of different data. The processing of real data suggests that the proposed method is effective in detecting minute changes.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 April 2017
          : 6
          : 2
          : 186-194
          Affiliations
          [1 ] ①(National Key Laboratory of Science and Technology on Microwave Imaging, Institute of Electronics,Chinese Academy of Sciences, Beijing 100190, China) ②(University of Chinese Academy of Sciences, Beijing 100049, China)
          [2 ] ②(University of Chinese Academy of Sciences, Beijing 100049, China)
          Article
          b0c4ddbe0f9d4c1b9dba262bffb33d9c
          10.12000/JR16065

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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