Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density

Abstract

In this letter, a band-selection approach based on the deep convolutional neural network (CNN) and distance density (DD) is proposed. This method effectively mitigates the curse of dimensionality for hyperspectral images (HSIs). First, we use the hyperspectral full-band data to train a custom 1-D CNN to obtain a well-trained model. Second, we select band… (More)
DOI: 10.1109/LGRS.2017.2765339

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