Comparison of spectral selection methods in the development of classification models from visible near infrared hyperspectral imaging data

Comparison of spectral selection methods in the development of classification models from visible near infrared hyperspectral imaging data

Applications of hyperspectral imaging (HSI) to the quantitative and qualitative measurement of samples have grown widely in recent years, due mainly to the improved performance and lower cost of imaging spectroscopy instrumentation. Data sampling is a crucial yet often overlooked step in hyperspectr...

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Bibliographic Details
Main Authors:	Aoife A. Gowen, Jun-Li Xu, Ana Herrero-Langreo
Format:	Article
Language:	English
Published:	IM Publications Open 2019-01-01
Series:	Journal of Spectral Imaging
Subjects:	hyperspectral imaging data sampling classification spatial variographic analysis
Online Access:	https://www.impopen.com/download.php?code=I08_a4

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