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- W2393591707 abstract "High resolution remote sensing image classification was one of the vital research points in the remote sensing field.Considering the high complementary of spectral angle and spectral distance in the classification,a new method called automatic weighting fusion classification based on spectral angel and spectral distance was proposed.It was an improvement of the strategy to merge the results of different classifiers based on automatic weighting fusion for different classifiers,which promoted the classification accuracy.The experimental results of QuickBird images showed that the classification accuracy of this method obviously exceeded both spectral angel classification and spectral distance classification,and this method could be widely used to classify and recognize various high spatial resolution remote sensing images." @default.
- W2393591707 created "2016-06-24" @default.
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- W2393591707 date "2012-01-01" @default.
- W2393591707 modified "2023-09-24" @default.
- W2393591707 title "Automatic weighting fusion classification method based on spectral angle and spectral distance" @default.
- W2393591707 hasPublicationYear "2012" @default.
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