The sensitivity of mapping methods to reference data quality: training supervised image classifications with imperfect reference data

HIGHLIGHTS

• who: Giles M. Foody and collaborators from the School of Geography, University of Nottingham, Nottingham, RD, UK have published the Article: The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data, in the Journal: (JOURNAL)
• what: The focus of this Article is on the final attribute that is claimed: that is, the low sensitivity of the SVM to error in the training dataset. The RVM and parameters for the error free training data with the different algorithms, 5-fold crossSVM may both make use of relatively atypical training . . .
  

   

  

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