New method of point target detection for SAR image

被引：0
|
作者：
Wan, P [1 ]
Wang, JG [1 ]
Zhao, ZQ [1 ]
Huang, SJ [1 ]
机构：
[1] Univ Elect Sci & Technol China, Dept Elect Engn, Chengdu 610054, Peoples R China
来源：
TARGETS AND BACKGROUNDS VI: CHARACTERIZATION, VISUALIZATION, AND THE DETECTION PROCESS | 2000年 / 4029卷
关键词：
SAR image; speckle; wavelet transform; Wiener filter; target detection;
D O I：
10.1117/12.392518
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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 is 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.
引用
收藏
页码：136 / 140
页数：5
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