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Deep Learning for Satellite Image Time Series Analysis: A Review
April 8, 2024, 4:42 a.m. | Lynn Miller, Charlotte Pelletier, Geoffrey I. Webb
cs.LG updates on arXiv.org arxiv.org
Abstract: Earth observation (EO) satellite missions have been providing detailed images about the state of the Earth and its land cover for over 50 years. Long term missions, such as NASA's Landsat, Terra, and Aqua satellites, and more recently, the ESA's Sentinel missions, record images of the entire world every few days. Although single images provide point-in-time data, repeated images of the same area, or satellite image time series (SITS) provide information about the changing state …
abstract analysis aqua arxiv cs.cv cs.lg deep learning earth earth observation eess.iv image images landsat nasa observation review satellite satellites sentinel series state time series type
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