New method of point-target detection for SAR image

Peng Wan; JianGuo Wang; Zhiqin Zhao; ShunJi Huang

doi:10.1117/12.392518

24 July 2000 New method of point-target detection for SAR image

Peng Wan, JianGuo Wang, Zhiqin Zhao, ShunJi Huang

Proceedings Volume 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process; (2000) https://doi.org/10.1117/12.392518
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A new method of reducing speckle noise for SAR (synthesize aperture radar) image is proposed, which combine enhanced wavelet transform and self-adaptive Wiener filter based SAR image scene heterogeneity. It can better preserve clutter edge and point target The several probability density function (pdf) is analyzed after speckle is de-noised and target detection studied. A new target detection method and its realizing are proposed. The validity of the method is tested by experiments for SIR- C/X HH SAR image.

Citation Download Citation

Peng Wan, JianGuo Wang, Zhiqin Zhao, and ShunJi Huang "New method of point-target detection for SAR image", Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); https://doi.org/10.1117/12.392518

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