JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (5): 29-35.doi: 10.6040/j.issn.1672-3961.3.2014.033

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Ship detection in remote sensing image based on the fuzzy fusion of multi-channel Gabor filtering

XIAO Qiao, PEI Jihong, WANG Lixia, GONG Zhicheng   

  1. College of Information Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China
  • Received:2014-10-08 Revised:2015-06-02 Online:2018-10-20 Published:2014-10-08

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Abstract: A scheme to sea background suppressing was proposed for ships detection in optical remote sensing images based on the fuzzy fusion of multi-channel Gabor filtering. First, a multi-channel Gabor filter was designed to give output image group. Second, three filtering enhancement evaluations were defined to get the fuzzy evaluation matrix. Third, the fuzzy comprehensive evaluations were calculated and the significant images were selected from filtered output images. Finally, the weights of the significant images were determined and the fused image was given by using weighted sum of these significant images. Experimental results showed that the proposed ship detection algorithm based on fuzzy fusion of multi-channel Gabor filtering could efficiently improve the detection accuracy and significantly reduce false alarm rate.

Key words: remote sensing images, ship detection, evaluation index, fusion, fuzzy comprehensive evaluation, image enhancement, Gabor filters

CLC Number: 

  • TP751.1
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