Sensitivity of support vector machine to features selection for land cover classification based on sentinel-2 data over Riyadh Urban Arid Area, Saudia Arabia

This study aimed to investigate the effect of three different combinations of features on land cover (LC) classification accuracy with support vector machine (SVM) and Sentinel-2 data over Riyadh city as an urban arid area. The three combinations included the original spectral bands, the spectral in...

Full description

Bibliographic Details

Main Authors:	Mohammed Saeed, Mohammed Abdo, Ahmad, Asmala, Mohd, Othman
Format:	Article
Language:	en
Published:	Asian Research Publishing Network (ARPN) 2023
Online Access:	http://eprints.utem.edu.my/id/eprint/28970/2/0064805092023346.pdf http://eprints.utem.edu.my/id/eprint/28970/ https://www.arpnjournals.org/jeas/research_papers/rp_2023/jeas_0423_9167.pdf https://doi.org/10.59018/0423112
Tags:	Add Tag No Tags, Be the first to tag this record!