Assessment of Component Selection Strategies in Hyperspectral Imagery

Assessment of Component Selection Strategies in Hyperspectral Imagery

Hyperspectral imagery (HSI) integrates many continuous and narrow bands that cover different regions of the electromagnetic spectrum. However, the main challenge is the high dimensionality of HSI data due to the ’Hughes’ phenomenon. Thus, dimensionality reduction is necessary before applying classif...

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Bibliographic Details
Main Authors: Edurne Ibarrola-Ulzurrun, Javier Marcello, Consuelo Gonzalo-Martin
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Entropy
Subjects:
remote sensing
hyperspectral sensor
feature-extraction
texture measurement
classification
ecosystem management
Online Access:https://www.mdpi.com/1099-4300/19/12/666

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