Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data
Land cover classification is an essential process in many remote sensing applications. Classification based on supervised methods have been preferred by many due to its practicality, accuracy and objectivity compared to unsupervised methods. Nevertheless, the performance of different supervised meth...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Science and Information Organization
2018
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Subjects: | |
Online Access: | http://eprints.utm.my/84587/1/AbdWahidRasib2018_ComparativeAnalysisofSupportVectorMachine.pdf |