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A new hyperspectral image classification method is proposed. It uses minimum noise fraction to reduce the dimensionality of a hyperspectral data cube followed by 2D spatial filtering and support vector machine. Experimental results show that the proposed method outperforms or is competitive to existing methods.
© 2021 The Author(s)
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