A new data augmentation technique for the CNN-based classification of hyperspectral imagery
spiedigitallibrary.org
A new data augmentation technique for the CNN-based classification of hyperspectral imagery
Deep Learning (DL)-based classification schemes for hyperspectral remotely sensed data have been introduced in the last few years with remarkable success due to their capability to learn the non-linear nature of the information that conforms hyperspectral images. In particular, Convolutional Neural Networks (CNNs) have been successfully used ...
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