Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder

Volume: 12, Issue: 8, Pages: 2663 - 2674
Published: Aug 1, 2019
Abstract
Remote sensing image super-resolution (SR) refers to a technique improving the spatial resolution, which in turn benefits to the subsequent image interpretation, e.g., target recognition, classification, and change detection. In popular sparse representation-based methods, due to the complex imaging conditions and unknown degradation process, the sparse coefficients of low-resolution (LR) observed images are hardly consistent with the real...
Paper Details
Title
Remote Sensing Image Super-Resolution Using Sparse Representation and Coupled Sparse Autoencoder
Published Date
Aug 1, 2019
Volume
12
Issue
8
Pages
2663 - 2674
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