Nombre de documents archivés : 1.
    Sheykhmousa, Mohammadreza; Mahdianpari, Masoud; Ghanbari, Hamid; Mohammadimanesh, Fariba; Ghamisi, Pedram et Homayouni, Saeid  ORCID: https://orcid.org/0000-0002-0214-5356
  
(2020).
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review.
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
	  , vol. 13
	  .
	
     pp. 6308-6325.
     DOI: 10.1109/JSTARS.2020.3026724.
ORCID: https://orcid.org/0000-0002-0214-5356
  
(2020).
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review.
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
	  , vol. 13
	  .
	
     pp. 6308-6325.
     DOI: 10.1109/JSTARS.2020.3026724. 
  
  
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