A wavelet based targets detection method for high resolution airborne SAR data

被引：1

作者：

Tian, Sirui ^{[1
,2
,3
]}

Wang, Chao ^{[2
]}

Zhang, Hong ^{[2
]}

Zhang, Bo ^{[2
]}

Wu, Fan ^{[2
]}

机构：

[1] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Beijing 100864, Peoples R China

[2] Chinese Acad Sci, China Remote Sensing Satellite Ground Stat, Beijing 100086, Peoples R China

[3] Chinese Acad Sci, Grad Sch, Beijing 100101, Peoples R China

来源：

IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年

基金：

中国国家自然科学基金;

关键词：

targets detection; RC-CFAR detector; improved wavelet soft-threshold de-noise;

D O I：

10.1109/IGARSS.2007.4423240

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A wavelet based automatic targets detection method for high resolution airborne SAR data is described in this article to receive faster and more accuracy detection. This method is based on the assumption that man-made objects are easily detectable at low resolution because their scattering is more persistent than that of natural objects. The algorithm involves an improved wavelet soft threshold filter (IWSTF) and a wavelet based RCCFAR detector. In order to retain the target feature, the wavelet soft threshold filter is improved by the strategy used in the enhanced Lee filter. Instead of using a global threshold, we adopted an adaptive threshold calculated according to the detail coefficients in each scale. To accelerate the RCCFAR detector, two RCCFAR detectors are used. One is first applied to the approximate coefficients to make a coarse detection. The other one is applied to the filtered images in those regions which are regarded as candidate targets. Performance of the algorithm is assessed by some high resolution airborne SAR image and it shows that the algorithm can effectively reduce false alarms caused by speckles.

引用

页码：2071 / +

页数：2