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A hybrid feature selection and classification strategy was proposed based on the simulated annealing genetic algorithm and multiple instance learning (MIL). The band selection method was proposed from subspace decomposition, which combines the simulated annealing algorithm with the genetic algorithm in choosing different cross-over and mutation probabilities, as well as mutation individuals. Then...
In order to improve the accuracy of remote sensing image classification, this paper firstly improves the kernel function of support vector machines (SVMs), after which the Markov Random Field (MRF) stochastic model is combined with the SVM model to classify the images. The remote sensing experimental area in northwest Indiana is shot in June 1992. A VIRIS hyperspectral remote sensing images are used...
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