Integration of Local and Global Support Vector Machines to Improve Urban Growth Modelling

The use of local information for the classification and modelling of spatial variables has increased with the application of statistical and machine learning algorithms, such as support vector machines (SVMs). This study presents a new local SVM (LSVM) model that was developed to model the probabili...

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Bibliographic Details
Main Authors: Babak Mirbagheri, Abbas Alimohammadi
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:http://www.mdpi.com/2220-9964/7/9/347