Application of support vector machine for classification of multispectral data

• Main Authors: Saiful Bahari, Nurul Iman, Ahmad, Asmala, Mohd Aboobaider, Burhanuddin
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: Q Science (General)
• Online Access: http://eprints.utem.edu.my/id/eprint/12759/1/1755-1315_20_1_012038_with_nurul_iman_published.pdf; http://eprints.utem.edu.my/id/eprint/12759/; http://iopscience.iop.org/1755-1315/20/1/012038/pdf/1755-1315_20_1_012038.pdf

In this paper, support vector machine (SVM) is used to classify satellite remotely sensed multispectral data. The data are recorded from a Landsat-5 TM satellite with resolution of 30x30m. SVM finds the optimal separating hyperplane between classes by focusing on the training cases. The study area...