Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data

• Main Authors: Ahmad, Asmala, Mohd Hashim, Ummi Kalsom, Mohd, Othman, Abdullah, Mohd Mawardy, Sakidin, Hamzah, Rasib, Abd Wahid, Sufahani, Suliadi Firdaus
• Format: Article
• Language: English
• Published: The Science and Information (SAI) Organization Limited 2018
• Subjects: QA75 Electronic computers. Computer science; TP200-248 Chemicals: Manufacture, use, etc.
• Online Access: http://eprints.uthm.edu.my/3552/1/AJ%202018%20%28700%29%20Comparative%20analysis%20of%20support%20vector%20machine%2C%20maximum%20likelihood%20and%20neural%20network%20classification%20on%20multispectral%20remote%20sensing%20data.pdf; http://eprints.uthm.edu.my/3552/

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...