Volume 37 Issue 8
Aug.  2012
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CHEN Bingwen, WANG Wenwei, QIN Qianqing. Infrared Target Detection Based on Principal Background Suppression[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 925-928.
Citation: CHEN Bingwen, WANG Wenwei, QIN Qianqing. Infrared Target Detection Based on Principal Background Suppression[J]. Geomatics and Information Science of Wuhan University, 2012, 37(8): 925-928.
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Infrared Target Detection Based on Principal Background Suppression

  • 1 School of Electronic Information,Wuhan University,Luojia Hill,Wuhan 430072,China;2 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家973计划资助项目(2006CB701303);;湖北省自然科学基金重点资助项目(2009CDA141);;中央高校基本科研业务费专项资金资助项目(212274467);;国家科技支撑计划资助项目(2011BAK08B02)
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  • Received Date: June 14, 2012
  • Published Date: August 04, 2012
    Graphical Abstract
    • Abstract
  • A new infrared target detection approach based on principal background suppression is presented.Through analyzing the spatial-temporal correlation of thermal imagery,the principal component analysis technique is utilized to suppress the background clutters.A spatially related fuzzy ART neural network is applied to build the spatial-temporal background models and detect targets by the suppressed frame information.The experiments have been carried out and the results show that the F1 measurement of our proposed approach is up to 94.2%.It is able to suppress background clutters and highlight targets effectively,and it is capable of detecting targets in complex thermal scene accurately.
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