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    0562844 - ÚVGZ 2023 RIV CH eng J - Journal Article
    Castelli, E. - Papandrea, E. - Di Roma, A. - Bloise, I. - Varile, M. - Tabani, H. - Gastellu-Etchegorry, J. - Feruglio, L.
    Deep Learning Application to Surface Properties Retrieval Using TIR Measurements: A Fast Forward/Reverse Scheme to Deal with Big Data Analysis from New Satellite Generations.
    Remote Sensing. Roč. 13, č. 24 (2021), č. článku 5003. E-ISSN 2072-4292
    Research Infrastructure: CzeCOS III - 90123
    Keywords : deep learning * Earth observation * satellite * remote sensing * forward models * retrievals
    OECD category: Ecology
    Impact factor: 5.349, year: 2021
    Method of publishing: Open access
    https://www.mdpi.com/2072-4292/13/24/5003
    Permanent Link: https://hdl.handle.net/11104/0335036
    FileDownloadSizeCommentaryVersionAccess
    Castelli-2021-Deep-learning-application-to-surfac.pdf02.3 MBPublisher’s postprintopen-access
     
     

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