Sentinel-2 satellite image time-series land cover classification with bernstein copula approach

HIGHLIGHTS

• who: Cristiano Tamborrino and collaborators from the Dipartimento di Matematica, Universitu00e0 degli Studi di Bari Aldo Moro, Via Orabona, , Bari, Italy Territoire Environnement Teledetection Information Spatiale (UMR TETIS), University of Montpellier have published the research: Sentinel-2 Satellite Image Time-Series Land Cover Classification with Bernstein Copula Approach, in the Journal: (JOURNAL)
• what: The authors propose a new approach for (SITS) classification which combines the matrix factorization to reduce the dimensionality of the data and the use of copulas distribution to model the dependencies. In this work, therefore, the authors propose an approach for LC . . .
  

   

  

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