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- W2358463364 abstract "In this paper,the hyperspectral RS image feature was extracted with the combination of fractal dimension and KPCA,both of them got complementary advantages.Three optimization algorithms were designed,in which the appropriate kernel function and fractal dimension calculation methods were designed.It optimized the feature extraction,and the AVIRIS results were evaluated at last.The results showed that under the same conditions,SVM classification accuracy is higher than other classification algorithm,the feature extraction using KPCA+Fractal could be more conducive to surface features of the classification." @default.
- W2358463364 created "2016-06-24" @default.
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- W2358463364 date "2012-01-01" @default.
- W2358463364 modified "2023-09-23" @default.
- W2358463364 title "Extraction of hyperspectral RS image feature with KPCA and fractal dimension" @default.
- W2358463364 hasPublicationYear "2012" @default.
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