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: Science and Information Organization 2018
• Subjects: NA Architecture; QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/84587/1/AbdWahidRasib2018_ComparativeAnalysisofSupportVectorMachine.pdf; http://eprints.utm.my/id/eprint/84587/; http://dx.doi.org/10.14569/IJACSA.2018.090966

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...