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Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
[article]
2021
arXiv
pre-print
Recently, satellites with high temporal resolution have fostered wide attention in various practical applications. Due to limitations of bandwidth and hardware cost, however, the spatial resolution of such satellites is considerably low, largely limiting their potentials in scenarios that require spatially explicit information. To improve image resolution, numerous approaches based on training low-high resolution pairs have been proposed to address the super-resolution (SR) task. Despite their
arXiv:2105.03579v2
fatcat:lxbdymxcwvcbbigisumkgm246y