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The spatial resolution of hyper-spectral remote sensing image is not enough to describe the distribution of land cover classes in the mixed pixel, sub-pixel mapping (SPM) is a promising way to predict the location of end-member at the sub-pixel level, based on the fraction images which were generated by spectral un-mixing. In this paper, a novel method was proposed to realize SPM. The proposed method...
Many optimization problems in the scientific research and engineering practice can be modeled as multi-objective optimization problems. Effective algorithms for them is of not only important in scientific research, but also valuable in applications. In this paper, a new genetic algorithm for multi-objective optimization problems based on uniform design called BUMOGA is proposed combined with uniform...
When solving an optimal problem, different encoding method has an important effect on the performance of multi-objective genetic algorithm. This paper breaks the traditional binary coding ideas, introduces a new dominant-recessive diploid codes which applied in the MOGA. we analyses the impact on solution space by the binary multi-objective genetic algorithm and dominant-recessive diploid codes multi-objective...
To solve the problem of slow convergence speed of the standard genetic algorithm (SGA), the strategy of adaptively changing the search area is used to reduce the search area progressively in this paper. The tactics of concerted evolution among multiple populations is proposed aimed at the deficiency of easily plunging into a local optimal solution of SGA. Distant hybridization strategy and a new method...
Automated techniques to optimize feature descriptor weights and select optimum feature descriptor subset are desirable as a way to enhance the performance of content based image retrieval system. In our system, all the MPEG-7 image feature descriptors including color descriptors, texture descriptors and shape descriptors are used to represent low-level image features. We use a real coded chromosome...
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