西安电子科技大学学报 ›› 2019, Vol. 46 ›› Issue (6): 131-139.doi: 10.19665/j.issn1001-2400.2019.06.019

• • 上一篇    下一篇

一种联合多特征量的SAR人造微弱痕迹检测方法

王志浩1,张金松1,孙光才1,李军2,邢孟道1   

  1. 1. 西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安 710071
    2. 北京无线电测量研究所,北京 100854
  • 收稿日期:2019-06-03 出版日期:2019-12-20 发布日期:2019-12-21
  • 作者简介:王志浩(1995—),男,西安电子科技大学博士研究生,E-mail:zhwang_ynwa@163.com
  • 基金资助:
    国防科技卓越青年人才基金(2017***ZQ-061)

Combined multi-features method for the detection of SAR man-made weak trace

WANG Zhihao1,ZHANG Jinsong1,SUN Guangcai1,LI Jun2,XING Mengdao1   

  1. 1. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi’an 710071, China
    2. Beijing Institute of Radio Measurement, Beijing 100854 , China
  • Received:2019-06-03 Online:2019-12-20 Published:2019-12-21

摘要:

当对脚印、车轮印等人造微弱痕迹进行检测时,植被、河流等自然场景由于其低相关性易造成检测结果中出现大量虚警区域。针对此问题,首先采用相干变化检测法对人造微弱痕迹进行粗检测;之后通过对植被、河流区域的雷达散射特性建模分析,发现相对于人造微弱痕迹,植被区域的图像强度变化更大,而河流区域的图像强度更低。在此基础上,引入复图像对的图像强度差与图像强度和作为特征量,对粗检测结果中的虚警区域进行剔除,提出了一种联合多特征量的人造微弱痕迹检测方法。该方法通过对联合多重特征量进行检测,可以降低虚警率,获得对人造微弱痕迹的精检测结果。毫米波合成孔径雷达实测数据的处理结果验证了该方法的有效性。

关键词: 合成孔径雷达, 人造微弱痕迹, 相干变化检测

Abstract:

When detecting the man-made weak trace like the footprints and wheel prints, a large number of false alarm areas caused by natural scenes appear in the detection results due to their low correlation, such as the vegetation and rivers. To solve this problem, this paper first gets the preliminary detection results with the Coherent Change Detection (CCD). Then by analyzing the Radar Cross Section (RCS) model of the natural scenes, it is found that the vegetation region varies much on image intensity while the river region gets a lower image intensity compared to the man-made weak trace. Based on this research, the differential and the sum of the image-pair intensity are taken as two test statistics to eliminate the vegetation and river regions from the preliminary detection results, and then a combined multi-feature method is proposed for man-made weak trace detection. The proposed method can reduce the false alarm rate and lead to fine detection results by multi-features. Finally, the processing results of the millimeter wave Synthetic Aperture Radar (SAR) real data verify the efficiency of the proposed method.

Key words: synthetic aperture radar, man-made weak trace, coherent change detection

中图分类号: 

  • TN957.51