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The use of contextual information is beneficial to improve both the accuracy and reliability of image classification. Based on the robust fuzzy ${c}$ -means (RFCM) clustering method and an adaptive Markov random field model, this letter proposes a contextual ${H}/{\bar {\alpha }}$ classifier for polarimetric synthetic aperture radar images. At each iterative step of RFCM clustering, the prior probability...
Distribution network reconfiguration is a multi- objective and discrete nonlinear combinatory optimization problem. In this paper, a novel multi-object distribution network reconfiguration method is proposed based on system homogeneity. Firstly, the relationship between power loss and reliability of systems with different homogeneity is analyzed. Then, to enhance system reliability and homogeneity,...
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