SAR Image Target Detection Based on ODVI

Li Yu; Ji Ke-feng; Su Yi

doi:10.3724/SP.J.1146.2006.01125

Volume 30 Issue 2

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(2): 314-317

Li Yu, Ji Ke-feng, Su Yi . SAR Image Target Detection Based on ODVI[J]. Journal of Electronics & Information Technology, 2008, 30(2): 314-317. doi: 10.3724/SP.J.1146.2006.01125

Citation:

Li Yu, Ji Ke-feng, Su Yi . SAR Image Target Detection Based on ODVI[J]. Journal of Electronics & Information Technology, 2008, 30(2): 314-317. doi: 10.3724/SP.J.1146.2006.01125

Li Yu, Ji Ke-feng, Su Yi . SAR Image Target Detection Based on ODVI[J]. Journal of Electronics & Information Technology, 2008, 30(2): 314-317. doi: 10.3724/SP.J.1146.2006.01125

Citation:

Li Yu, Ji Ke-feng, Su Yi . SAR Image Target Detection Based on ODVI[J]. Journal of Electronics & Information Technology, 2008, 30(2): 314-317. doi: 10.3724/SP.J.1146.2006.01125

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SAR Image Target Detection Based on ODVI

doi: 10.3724/SP.J.1146.2006.01125

Received Date: 2006-07-31
Rev Recd Date: 2007-01-02
Publish Date: 2008-02-19

Abstract

Abstract

A new CFAR method for SAR image target detection based on ODVI-AC is proposed in this paper. The reference cells of the test cell are firstly processed by an automatic censoring algorithm in order to remove the cells of clutter and interfering targets in the reference window. The remaining cells which are homogeneous can be used to describe the statistical property of the local environments and to evaluate the parameters of the probability density function. The remaining cells can also used to yield the test statistics of two-parameter CFAR detector and calculate the adaptive CFAR threshold. The performance of ODVI-AC CFAR detector is analyzed theoretically to show its superiority. Finally, the field X band SAR image data is used as test data for this algorithm, and the comparison with other CFAR methods is favorable to the ODVI-AC CFAR in this paper.

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References(1)

References

Oliver C and Quegan S. Understanding Synthetic ApertureRadar Images. Boston, London, Artech House, 1998:277-296.[2]Himonas S D and Barkat M. Automatic censored CFARdetection for nonhomogeneous environments[J].IEEE Trans. onAerospace and Electronic Systems.1992, 28(1):286-304[3]Smith M E and Varshney P K. Intelligent CFAR processorbased on data variability[J].IEEE Trans. on Aerospace andElectronic Systems.2000, 36(3):837-847[4]Farrouki A and Barkat M. Automatic censoring CFARdetector based on ordered data variability fornonhomogeneous environments[J].IEE Proceedings of Radar,Sonar and Navigation.2005, 152(1):43-51[5]Hou Xiu-Ying, Morinaga N, and Namekawa T. Directevaluation of radar detection probabilities[J].IEEE Trans. onAerospace and Electronic Systems.1987, 23(4):418-423[6]Novak L M, Halversen S D and Owirka G J, et al.. Effects ofpolarization and resolution on SAR ATR[J].IEEE Trans. onAerospace and Electronic Systems.1997, 33(1):102-116[7]Rohling H. Radar CFAR thresholding in clutter and multipletarget situations[J].IEEE Trans. on Aerospace and ElectronicSystems.1983, 19(4):608-621

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