Target Detection of Sonar Image Based on Bis-Parameter with Adaptive Windows

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Abstract:

The detection algorithm CFAR is very mature in SAR image process field and the efficiency is very good. In the paper, CFAR is tried to be used in sonar image process. In order to solve the problem that the target part leaking to the background, a new method target detection of sonar image based on bis-parameter with adaptive windows is proposed. The size of adaptive windows can be adjusted to totally cover different targets. The experimental result showed that the complex multi target can be detected by the proposed method in a high accuracy.

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3407-3410

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] ZHANG Yun-xiu, ZHAO Chun-hui. The Research of Target Detection Algorithm of SAS Images Using CFAR Based on Histogram Parameter Estimation[J]. Journal of Natural Science of HeiLongjiang University, 2011, 28(3): 399-404.

Google Scholar

[2] WANG, Yi-min, AN Jin-wen , WANG Ruo-pu . CFAR Techniques for Target Detection in SAR Images Based on Local Bis-Parameter Estimation[J]. Fire Control and Command Control, 2006, 31(4): 50-52.

Google Scholar

[3] ZHANG Jun, GAO Gui, ZHOU Die-fei. Comparison on Two CFAR Algorithm of Vehicle Target Detection in SAR Images [J]. Signal Processing, 2008, 24(1): 78-82.

Google Scholar

[4] CHEN Xiang, SUN Jun, YIN Kui-ying. An Algorithm of Ship Target Detection in SAR Images Based on Cascaded CFAR [J]. Modern Radar, 2012, 34(9): 50-54.

Google Scholar

[5] XU Jun, CHENG Gen-zhong, WANG Di. Noise Jamming Effect Evaluation of SAR through CFAR Detection [J] . Aerospace Electronic Warefare, 2007, 23(4): 21-24.

Google Scholar

[6] DIAO Duan-xin, SHI Ting-yan, YANG Li-chun. Two-Step CFAR Algorithm Based on Target's Knowledge [J]. Command Control and Simulation. 2012, 34(2): 114-117.

Google Scholar