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Considering the instability of airport unexploded ordnances(UXO) and the complexity of environment, the theory of artificial neural network(ANN)-fuzzy support vector machines (FSVMs) is presented to penetrate UXO. Different from the traditional target identification methods, the proposed approach uses the characteristics of ground penetrating radar target data analyzed by using the principal component...
Considering the risk and fuzzy characteristics of airport unexploded ordnances, the theory of fuzzy support vector machines (FSVMs) is applied to penetrate airport unexploded ordnances(UXO). The risk membership to each input points is confirmed on the base of processing input data, and then is leaded into the reasoning process of the decision function. At the end, the results of UXO detection show...
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