Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification

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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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Bibliographic Details
Main Author:	Myaser, Jwan
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Nonparametric statistics Landsat satellites Remote-sensing images - Data processing
Online Access:	http://psasir.upm.edu.my/id/eprint/85694/ http://psasir.upm.edu.my/id/eprint/85694/1/FK%202020%2084%20-%20ir.pdf

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