Journal of Xidian University ›› 2019, Vol. 46 ›› Issue (6): 131-139.doi: 10.19665/j.issn1001-2400.2019.06.019

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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


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

CLC Number: 

  • TN957.51