Journal on Communications

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Small target detection based on modified local reverse entropy operator

  

  • Online:2013-04-25 Published:2013-04-15
  • Supported by:
    The National Natural Science Foundation of China (61074046); The Ministry of Education of Humanities and Social Science Project (10YJC880113); The Nature Science Foundation of Hubei Province (2011CDB163); Fundamental Research Funds for the Central Universities (CCNU120002040471, CCNU10C01003); Scientific Research Starting Foundation of Central China Normal University (CCNU12T03040)

Abstract: A small-target detection approach was proposed, which is based on the modified local reverse entropy operator and the improved region growing technology. The approach adopted the fact that the emergence of small target could lead to the large change of local reverse entropy. The proposed approach made use of the local reverse entropy map to suppress the small-target image background, and then adopted the improved region growing technique to effectively detect small targets. Experimental results show that the proposed approach can detect small targets accurately and quickly.

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