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AN AUTOMATIC TARGET RECOGNITION ALGORITHM FOR AERIAL PHOTO BASED ON NEURAL NETWORK |
Chen Dong①; Shen Zhenkang①; Li Biao①; Liu Wenhua②; Wang Weihua①; Li Jicheng① |
①National Lab of ATR National University of Defence Technology Changsha 410073 China |
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Abstract Due to the complexity of automatic target recognition for aerial photo this paper describes an automatic target recognition algorithm based on neural network. It includes two stages, target detection and false-alarm rejection. The first stage operates on the entire image to detect potential targets quickly. The second stage attempts to reject false target-like objects while retaining as many targets as possible. The experimental results show the algorithm is feasible.
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Received: 23 December 1999
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