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RapidAI4EO: Mono- and Multi-temporal Deep Learning models for Updating the CORINE Land Cover Product
Autor:
Bhugra, Priyash, Bischke, Benjamin, Werner, Christoph, Syrnicki, Robert, Packbier, Carolin, Helber, Patrick, Senaras, Caglar, Rana, Akhil Singh, Davis, Tim, De Keersmaecker, Wanda, Zanaga, Daniele, Wania, Annett, Van De Kerchove, Ruben, Marchisio, Giovanni
In the remote sensing community, Land Use Land Cover (LULC) classification with satellite imagery is a main focus of current research activities. Accurate and appropriate LULC classification, however, continues to be a challenging task. In this paper
Externí odkaz:
http://arxiv.org/abs/2210.14624
