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- W2377182859 abstract "Two models of classifier-fusion systems designed by genetic algorithms are proposed.1st model utilizes disjoint feature subspaces,whereas 2nd one withdraws the restriction.Through the experiments,the two models are compared against single classifiers.Results show that,the two classifier-fusion systems yields better classification accuracy against the two single classifiers,and 1st model,which utilizes disjoint feature subspaces,can help improve the classification of high-resolution remote sensing with significant feature correlation." @default.
- W2377182859 created "2016-06-24" @default.
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- W2377182859 date "2010-01-01" @default.
- W2377182859 modified "2023-09-24" @default.
- W2377182859 title "Multiple Classifier Fusion in High-resolution Remote Sensing Based on Genetic Algorithms" @default.
- W2377182859 hasPublicationYear "2010" @default.
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