A review of ensemble learning algorithms used in remote sensing applications

HIGHLIGHTS

• who: Yuzhen Zhang and collaborators from the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China have published the article: A Review of Ensemble Learning Algorithms Used in Remote Sensing Applications, in the Journal: (JOURNAL)
• what: The authors provide an overview of three widely used ensemble techniques: bagging boosting and stacking. The authors focus on several fields of study that widely use ensemble techniques for objectives such as crop yield prediction, estimation of forest structure parameters, mapping natural hazards, and spatial downscaling, as well as other applications. The authors examine . . .
  

   

  

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