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- W2371851424 abstract "In this paper,the P-SVM algorithm was introduced into multi-spectral/high-spatial resolution remotely sensed data classification and it is applied to classification of ASTER satellite data and ADS40 aerial digital data.The experiments indicate that the P-SVM is at least competitive with the standard SVM algorithm in classification accuracy of remotely sensed data and the time needed is less." @default.
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- W2371851424 date "2009-01-01" @default.
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- W2371851424 title "Improved support vector machine and classification for remotely sensed data" @default.
- W2371851424 hasPublicationYear "2009" @default.
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