Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product

Post time 2024-2-7 14:36:57

journal：IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Authors：P. Bhugra; B. Bischke; C. Werner; R. Syrnicki; C. Packbier; P. Helber; C. Senaras; A. S. Rana; T. Davis; W. De Keersmaecker; D. Zanaga; A. Wania; R. Van de Kerchove; G. Marchisio

Published date：2022-7-17

DOI：10.1109/igarss46834.2022.9883198

PDF link：https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?arnumber=9883198

Article link：http://dx.doi.org/10.1109/igarss46834.2022.9883198

Article Source：IEEE。

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[IEEE] Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product

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[IEEE] Rapidai4Eo: Mono-and Multi-Temporal Deep Learning Models for Updating the Corine land Cover Product