Multisenge : a multimodal and multitemporal benchmark dataset for land use/land cover remote sensing applications

HIGHLIGHTS

  • who: MULTISENGE A MULTIMODAL and collaborators from the XXIV ISPRS Congress (, edition), June, Nice, France LIVE UMR , CNRS, University of Strasbourg, Strasbourg, France have published the Article: MULTISENGE : A MULTIMODAL AND MULTITEMPORAL BENCHMARK DATASET FOR LAND USE/LAND COVER REMOTE SENSING APPLICATIONS, in the Journal: (JOURNAL)
  • what: The aim of this is to propose relevant and easy-access to explore deep learning methods.
  • how: This paper presents that is new large scale and covering one of the biggest administrative region located in the Eastern part of France. contains 8 157 patches of 256 . . .

     

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