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Volume 11 ()
Efficiency assessment of the of Support Vector Machines for land use classification using Landsat ETM+ data (Case study: Ilam Dam Catchment)

Saleh Arekhi; Mostafa Adibnejad

Volume 18, Issue 3 , September 2011, , Pages 420-440

Abstract
  Land use classification using remotely sensed images is one of the most common applications in remote sensing, and many algorithms have been developed and applied for this purpose in the literature. This study investigates the efficiency of Support Vector Machines algorithms in image classification. ...  Read More