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Remote Sensing Technology and Application  2012, Vol. 27 Issue (5): 712-715    DOI: 10.11873/j.issn.1004-0323.2012.5.712
    
Hierarchical Feature Extraction and Selection Method and the Applications in Automatic Target Recognition System
Mei Xue1,Zhang Jifa1,Xu Songsong1,Gong Jianming2
(1.School of Automation & Electrical Engineering,Nanjing University of Technology,Nanjing 210009,China;
2.School of Mechanism & Dynamic Engineering,Nanjing University of Technology,Nanjing 210009,China)
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Abstract  

Similar shape object recognition is widely used in automatic target recognition system of remote sensing and weapon guidance.A hierarchical method of shape feature extraction and selection is proposed to increase the recognition efficiency and rate.Learning from human visual perception,multi-scale features are extracted.Global features are used to make a quick classification,and local features are used to distinguish targets with similar shape.To achieve the feature selection,fuzzy criterion is introduced which improves the matching processing and increases the recognition rate.Experimental results show this method is an effective and general way in recognizing targets with similar shape,and the feature selection improves the recognition rate by 6.9% than before.

Key words:  Shape recognition      Feature extraction and selection      Hierarchical recognition      Wavelet moment     
Received:  17 November 2011      Published:  17 October 2012
TP 391.4  
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Cite this article: 

Mei Xue,Zhang Jifa,Xu Songsong,Gong Jianming. Hierarchical Feature Extraction and Selection Method and the Applications in Automatic Target Recognition System. Remote Sensing Technology and Application, 2012, 27(5): 712-715.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2012.5.712     OR     http://www.rsta.ac.cn/EN/Y2012/V27/I5/712

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