Target Identification Based on Corner Character and Self-adaptive Kernel Clustering Algorithm

2007 
【Abstract】A novel target identification method based on corner character and self-adaptive kernel clustering algorithm is proposed. Validity measure function is introduced to the kernel clustering algorithm, and it can get the sorts’ number automatically. The method is used for detecting the airplane. Experiments show that the algorithm is efficient. 【Key words】Corner character; Kernel clustering; Validity measure function; Airplane identification
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