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Recently, Gabor wavelet transformation has been introduced for feature extraction of hyperspectral imagery. Due to the discriminative power of obtained Gabor features, high classification performance has been achieved. However, thousands of Gabor features cause too much burden for onboard computation, limiting the efficiency of the method. In fact, not all features have a positive effect on classification...
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