Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites. (arXiv:2205.02031v1 [cs.CV])

Web: http://arxiv.org/abs/2205.02031

Modern Earth observation satellites capture multi-exposure bursts of
push-frame images that can be super-resolved via computational means. In this
work, we propose a super-resolution method for such multi-exposure sequences, a
problem that has received very little attention in the literature. The proposed
method can handle the signal-dependent noise in the inputs, process sequences
of any length, and be robust to inaccuracies in the exposure times.
Furthermore, it can be trained end-to-end with self-supervision, without
requiring ground truth high resolution frames, …

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