Land Use Classification using Support Vector Machine and Maximum Likelihood Algorithms by Landsat 5 TM Images

Land Use Classification using Support Vector Machine and Maximum Likelihood Algorithms by Landsat 5 TM Images

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Nowadays, remote sensing images have been identified and exploited as the latest information to study land cover and land uses. These digital images are of significant importance, since they can present timely information, and capable of providing land use maps. The aim of this study is to create la...

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Bibliographic Details
Main Authors: Abbas TAATI, Fereydoon SARMADIAN, Amin MOUSAVI, Chamran Taghati Hossien POUR, Amir Hossein Esmaile SHAHIR
Format: Article
Language:English
Published: Walailak University 2014-12-01
Series:Walailak Journal of Science and Technology
Subjects:
Remote sensing
satellite
overall accuracy
kappa coefficient
Online Access:http://103.58.148.28/index.php/wjst/article/view/1225

Internet

http://103.58.148.28/index.php/wjst/article/view/1225

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