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›› 2013, Vol. 30 ›› Issue (6): 793-799.DOI: 10.7523/j.issn.2095-6134.2013.06.012

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Fast ship detection method based on ScanSAR image

LIN Xu1, HONG Jun2, SUN Xian1, YAN Yi3   

  1. 1. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. China National Key Laboratory of Microwave Imaging Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    3. School of Electronic Electrical and Communication engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-12-28 Revised:2013-03-28 Online:2013-11-15

Abstract:

In this paper, a fast ship detection method based on ScanSAR image is presented. Firstly, the influence of scalloping noise on ship detection is reduced by seasonal local brightness transform. Secondly, an improved two-parameter CFAR ship detection based on OpenMP before ScanSAR images mosaicking is adopted, and it not only avoids the influence of splicing apertures on ship detection but also reduces the time of ship detection greatly. At last, the final detection targets are derived from mosaicking ScanSAR images. Experimental results on 15 different ScanSAR images show that the proposed system has good detection performance and prominent timeliness.

Key words: ScanSAR image, Scalloping, splicing aperture, OpenMP, ship fast detection

CLC Number: