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...
Saved in:
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: | |
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative analysis of support vector machine, maximum likelihood and neural network classification on multispectral remote sensing data
by: Ahmad, Asmala, et al.
Published: (2018) -
Analysis of Maximum Likelihood Classification
on Multispectral Data
by: Asmala, A.
Published: (2012) -
THE EFFECTS OF TRAINING SET SIZE ON THE ACCURACY OF MAXIMUM LIKELIHOOD, NEURAL NETWORK AND SUPPORT VECTOR MACHINE CLASSIFICATION
by: Mohamad Hashim, Ummi Kalsom, et al.
Published: (2014) -
Haze Effects On Satellite Remote Sensing Imagery And Their Corrections
by: Ahmad, Asmala, et al.
Published: (2019) -
The Effects of Haze on the Accuracy of Maximum Likelihood Classification
by: Asmala, A., et al.
Published: (2016)