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- W2371362014 abstract "This paper performs classification training for a variety of vegetation classification methods with hyper-spectral remote sensing,and compares their performances combining with concrete OMIS I hyperspectral remote sensing data,and then obtains some application laws of these methods used in vegetation classification based on hyperspectral remote sensing,and some skills of selecting optimum methods in hyperspectral vegetation classifications.Then,it presents a classification method that combines the traditional classification method with the classification method based on spectral features match,which can be used for classifying the hyperspectral images." @default.
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- W2371362014 date "2007-01-01" @default.
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- W2371362014 title "Vegetation Classification Methods Based on Hyperspectral Remote Sensing" @default.
- W2371362014 hasPublicationYear "2007" @default.
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