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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Asian Research Publishing Network (ARPN)
2023
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| 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 |
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