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Chinese Optics Letters

Chinese Optics Letters


  • Vol. 3, Iss. 1 — Jan. 10, 2005
  • pp: 12–15

Morphological self-organizing feature map neural network with applications to automatic target recognition

Shijun Zhang, Zhongliang Jing, and Jianxun Li  »View Author Affiliations

Chinese Optics Letters, Vol. 3, Issue 1, pp. 12-15 (2005)

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The rotation invariant feature of the target is obtained using the multi-direction feature extraction property of the steerable filter. Combining the morphological operation top-hat transform with the self-organizing feature map neural network, the adaptive topological region is selected. Using the erosion operation, the topological region shrinkage is achieved. The steerable filter based morphological self-organizing feature map neural network is applied to automatic target recognition of binary standard patterns and real-world infrared sequence images. Compared with Hamming network and morphological shared-weight networks respectively, the higher recognition correct rate, robust adaptability, quick training, and better generalization of the proposed method are achieved.

© 2005 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.5010) Image processing : Pattern recognition
(200.4260) Optics in computing : Neural networks

Shijun Zhang, Zhongliang Jing, and Jianxun Li, "Morphological self-organizing feature map neural network with applications to automatic target recognition," Chin. Opt. Lett. 3, 12-15 (2005)

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