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Proceedings Paper

New method of point-target detection for SAR image
Author(s): Peng Wan; JianGuo Wang; Zhiqin Zhao; ShunJi Huang
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Paper 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.

Paper Details

Date Published: 24 July 2000
PDF: 5 pages
Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); doi: 10.1117/12.392518
Show Author Affiliations
Peng Wan, Univ. of Electronic Science and Technology (China)
JianGuo Wang, Univ. of Electronic Science and Technology (China)
Zhiqin Zhao, Univ. of Electronic Science and Technology (China)
ShunJi Huang, Univ. of Electronic Science and Technology (China)


Published in SPIE Proceedings Vol. 4029:
Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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