Unsupervised Identification of Targeted Spectra Applying Rank<sup>1</sup>-NMF and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery

Unsupervised Identification of Targeted Spectra Applying Rank<sup>1</sup>-NMF and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery

Clustering methods unequivocally show considerable influence on many recent algorithms and play an important role in hyperspectral data analysis. Here, we challenge the clustering for mineral identification using two different strategies in hyperspectral long wave infrared (LWIR, 7.7–11.8 μm). For t...

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Bibliographic Details
Main Authors: Bardia Yousefi, Clemente Ibarra-Castanedo, Martin Chamberland, Xavier P. V. Maldague, Georges Beaudoin
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
long-wave infrared hyperspectral imaging
mineral identification
clustering of hyperspectral data
spectral comparison method
Online Access:https://www.mdpi.com/2072-4292/13/11/2125

Internet

https://www.mdpi.com/2072-4292/13/11/2125

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