Biomimetic Pattern Recognition aim at finding the best coverage of per kind of sampleȁ9;s distribution in the feature space. It is based on the analysis of relationship of sample points in the feature space. According to the principle of ȁC;same sourceȁD;, research the same kind of samplesȁ9; distribution in the feature space can get eigenvector information with low data amount. This can be realized by ȁ8;coverage recognizing method of complex geometric body in high dimensional spaceȁ9;. Self-adaptive topological structure of high dimensional geometrical neuron model offers theoretical basis for its realization. In this paper, we propose Biomimetic Pattern Recognition theory Based on the Youngȁ3;Helmholtz model of Multispectral Images, and study its algorithm. The experiment result proves the efficiency of our theory.
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