Paper
8 February 2005 An artificial immune approach for urban texture analysis
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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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hong Zheng "An artificial immune approach for urban texture analysis", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.571766
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KEYWORDS
Detection and tracking algorithms

Image filtering

Molecules

Image analysis

Earth observing sensors

Image segmentation

Satellite imaging

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