Self-Dictionary Regression for Hyperspectral Image Super-Resolution
Self-Dictionary Regression for Hyperspectral Image Super-Resolution is a scholarly work, published in 2018 in ''Remote Sensing''. The main subjects of the publication include multispectral image, noise reduction, end member, artificial intelligence, image fusion, computer science, computer vision, remote sensing, image resolution, consistency, pattern recognition, and hyperspectral imaging. Extensive experiments on three datasets demonstrate that the proposed method outperforms the state-of-the-art methods..