Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
In Land Cover Mapping (LCM) studies, non-parametric classifiers are more accurate than parametric classifiers. However, its precision affected by numerous factors like data set type, spatial resolution, number of variables, etc. The overall objective of this study...
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| Format: | Thesis |
| Language: | English |
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2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/85694/1/FK%202020%2084%20-%20ir.pdf |