Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening. (arXiv:2109.09395v3 [cs.CV] UPDATED)

Deep learning based pan-sharpening has received significant research interest
in recent years. Most of existing methods fall into the supervised learning
framework in which they down-sample the multi-spectral (MS) and panchromatic
(PAN) images and regard the original MS images as ground truths to form
training samples. Although impressive performance could be achieved, they have
difficulties generalizing to the original full-scale images due to the scale
gap, which makes them lack of practicability. In this paper, we propose an
unsupervised generative …

arxiv cv generative adversarial networks networks unsupervised