Classification of hyperspectral remote sensing images based on simulated annealing genetic algorithm and multiple instance learning, Journal of Central South University of Technology | DeepDyve
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Classification of hyperspectral remote sensing images based on simulated annealing genetic algorithm and multiple instance learning, Journal of Central South University of
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 ...
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