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| A Robust Change Detection Algorithm in SAR Target Detection |
| Yang Zhi-guo Huang Xiao-tao Zhou Zhi-min |
| School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China |
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Abstract The main change detection algorithms include forming likelihood ratio algorithm and Least Mean Square (LMS) image subtraction algorithm in Synthetic Aperture Radar (SAR) target detection. There are respective problems for two change detection algorithms: Forming likelihood ratio algorithm needs enough prior knowledge of target, clutter and noise, and LMS image subtraction algorithm is not robust enough. Considering above problems, this paper presents a robust change detection algorithm. The proposed algorithm introduces the influence factor of error on the basis of LMS image subtraction algorithm and calculates the parameters through iteration technique, which improves the robustness of change detection. Finally the results of change detection experiments based on different change detection algorithms are given to prove the robustness of the proposed algorithm in this paper.
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Received: 29 January 2007
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Corresponding Authors:
Yang Zhi-guo
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2008, Vol. 30 
