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      SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification

      , , , ,
      International Journal of Applied Earth Observation and Geoinformation
      Elsevier BV

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          Dropout: a simple way to prevent neural networks from overfitting

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            Continuous change detection and classification of land cover using all available Landsat data

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              Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

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                Author and article information

                Journal
                International Journal of Applied Earth Observation and Geoinformation
                International Journal of Applied Earth Observation and Geoinformation
                Elsevier BV
                15698432
                February 2022
                February 2022
                : 106
                : 102651
                Article
                10.1016/j.jag.2021.102651
                17bf2b11-ad62-437d-a8ae-7b8fbabca773
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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