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Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series
April 26, 2024, 4:45 a.m. | Aimi Okabayashi (IRISA, OBELIX), Nicolas Audebert (CEDRIC - VERTIGO, CNAM, LaSTIG, IGN), Simon Donike (IPL), Charlotte Pelletier (OBELIX, IRISA)
cs.CV updates on arXiv.org arxiv.org
Abstract: Satellite imaging generally presents a trade-off between the frequency of acquisitions and the spatial resolution of the images. Super-resolution is often advanced as a way to get the best of both worlds. In this work, we investigate multi-image super-resolution of satellite image time series, i.e. how multiple images of the same area acquired at different dates can help reconstruct a higher resolution observation. In particular, we extend state-of-the-art deep single and multi-image super-resolution algorithms, such …
abstract acquisitions advanced arxiv best of cs.cv eess.iv image images imaging multiple resolution satellite sensor sentinel series spatial time series trade trade-off type work
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