Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification

Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification

Remote sensing technologies have been widely used in the contexts of land cover and land use. The image classification algorithms used in remote sensing are of paramount importance since the reliability of the result from remote sensing depends heavily on the classification accuracy. Parametric clas...

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Bibliographic Details
Main Authors: Abdul Razaque, Mohamed Ben Haj Frej, Muder Almi’ani, Munif Alotaibi, Bandar Alotaibi
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
remote sensing
support vector machine
improved SVM-RBF variant
improved SVM-Linear variant
image classification
Online Access:https://www.mdpi.com/1424-8220/21/13/4431

Internet

https://www.mdpi.com/1424-8220/21/13/4431

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