Abstract
This paper proposes one aerial target recognition algorithm based on moment characteristics and immunity computation. The algorithm first uses the thresholding segmentation technology based on immunity computation to make target extraction, and calculates its moment characteristics. Then it uses a neural network identifier of evolution weight to carry on the target recognition and determine final target category. A simulation experiment indicates that the method based on moment characteristics and immunity computation can enhance the recognition efficiency and has achieved good results.
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Gao, K., Dong, M., Li, D. (2007). A Neural Network Identifier Design Based on Immunity Computation and Moment Characteristics. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_101
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DOI: https://doi.org/10.1007/978-3-540-74282-1_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
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