Vegetation Identification in Hyperspectral Images Using Distance/Correlation Metrics

Distance/correlation metrics have emerged as a robust and simplified tool for assessing the spectral characteristics of hyperspectral image pixels and effectively categorizing vegetation within a specific study area. Correlation methods provide a readily deployable and computationally efficient appr...

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Bibliographic Details

Published in:	Atmosphere
Main Authors:	Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón, Manuel Saba
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Subjects:	distance-based method urban vegetation vegetation clustering vegetation classification
Online Access:	https://www.mdpi.com/2073-4433/14/7/1148