• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

A Method of MMW/IR Fusion for  Target Recognition Based on Gray  Relational Analysis with Adaptive Weights

  • GUO Jun ,
  • DIAO He-Feng ,
  • SHU Chang-Ren
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  • (National Key Laboratory of ATR,National University of Defense Technology,Changsha 410073;)

Received date: 2008-08-25

  Revised date: 2008-11-25

  Online published: 2010-01-26

Abstract

A method of MMW/IR fusion for target recognition based on gray relational analysis with adaptive weights and the DS theory is presented. Firstly, the gray relational grade of each sensor is computed and treated as the basic probability assignment function. Then, the fusion recognition result is computed by the DS theory. At the step of gray relational grade calculation, an algorithm of entropy analysis is introduced to adaptively determine each weight, and then the system performance is improved. The experimental results based on real data show that the proposed method is effective.

Cite this article

GUO Jun , DIAO He-Feng , SHU Chang-Ren . A Method of MMW/IR Fusion for  Target Recognition Based on Gray  Relational Analysis with Adaptive Weights[J]. Computer Engineering & Science, 2010 , 32(2) : 146 -149 . DOI: 10.3969/j.issn.1007130X.2010.

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