The performance of random forests in an operational setting for large area sclerophyll forest classification

HIGHLIGHTS

• who: Andrew Mellor 1 from the School of Mathematical and Geospatial Sciences, RMIT University, G, Melbourne, University of Queensland, St Lucia, QLD, Australia have published the research: The Performance of Random Forests in an Operational Setting for Large Area Sclerophyll Forest Classification, in the Journal: (JOURNAL) of December/31,/2008
• what: The authors evaluate the performance of the Random Forest (RF) classifier an ensemble learning algorithm that has recently shown promise using multi-spectral satellite sensor imagery for large area feature classification. The authors evaluate the operational performance and utility of RF for classifying forest . . .
  

   

  

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