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Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images
The development of deep learning-based models for the compression of hyperspectral images (HSIs) has recently attracted great attention in remote sensing due to the sharp growing of hyperspectral data archives.
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
This is achieved by taking codestreams associated with the coarsest resolution wavelet sub-band as input to approximate finer resolution sub-bands using a number of transposed convolutional layers.
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