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Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:3309-3325
Hyperspectral images (HSIs) are usually corrupted by various noises, e.g., Gaussian noise, impulse noise, stripes, dead lines, and many others. In this article, motivated by the good performance of the $L_{1-2}$ nonconvex metric in image sparse struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e440c3d2e34f2eb5af6d6976de0ad11
https://doi.org/10.1109/tgrs.2020.3007945
https://doi.org/10.1109/tgrs.2020.3007945
