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Volume 23 Issue 7
Jul.  2001
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Chen Dong, Shen Zhenkang, Li Biao, Liu Wenhua, Wang Weihua, Li Jicheng. AN AUTOMATIC TARGET RECOGNITION ALGORITHM FOR AERIAL PHOTO BASED ON NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 2001, 23(7): 722-725.
Citation: Chen Dong, Shen Zhenkang, Li Biao, Liu Wenhua, Wang Weihua, Li Jicheng. AN AUTOMATIC TARGET RECOGNITION ALGORITHM FOR AERIAL PHOTO BASED ON NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 2001, 23(7): 722-725.

AN AUTOMATIC TARGET RECOGNITION ALGORITHM FOR AERIAL PHOTO BASED ON NEURAL NETWORK

  • Received Date: 1999-12-23
  • Rev Recd Date: 2000-04-14
  • Publish Date: 2001-07-19
  • 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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  • B. Bhanu, Automatic target recognition, state of the art survey, IEEE Trans. On Aerospace Electron. Sys., 1986, AES-22(4), 364-379.[2]M.W. Roth, Survey of neural network technology for automatic target recognition, IEEE Trans. on Neural Networks, 1990, NN-1(1), 28-43.[3]A. Mahalanobis, B. V. K. Kumar, D. Casasent, Minimum average correlation energy filters, Appl. Opt, 1987, 26(2), 3633-3640.
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