Optimal land-cover classification feature selection in arid areas based on Sentinel-2 imagery and spectral indices
Adding spectral indices to Sentinel-2 spectral bands to improve land-cover (LC) classification with limited sample size can affect the accuracy due to the curse of dimensionality. In this study, we compared the performance metrics of Random Forest (RF) classifier with three different combinations...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Science and Information Organization
2023
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28881/2/0064805092023344.pdf http://eprints.utem.edu.my/id/eprint/28881/ https://thesai.org/Downloads/Volume14No3/Paper_12-Optimal_Land_cover_Classification_Feature_Selection_in_Arid_Areas.pdf |
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