Abstract
This paper presents a novel approach for urban texture analysis. The approach applies the artificial immune theory in learning the texture filters for urban texture classifications. In this paper, urban textures are regarded as non-self, and non-urban textures are regarded as self. Texture filters are regarded as antibodies. The clonal selection algorithm is employed to evolve antibodies. Experimental results of urban texture analysis on aerial images are presented to illustrate the feasibility of the proposed method.
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