DLR HySU—A Benchmark Dataset for Spectral Unmixing

DLR HySU—A Benchmark Dataset for Spectral Unmixing

Spectral unmixing represents both an application per se and a pre-processing step for several applications involving data acquired by imaging spectrometers. However, there is still a lack of publicly available reference data sets suitable for the validation and comparison of different spectral unmix...

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Bibliographic Details
Main Authors: Daniele Cerra, Miguel Pato, Kevin Alonso, Claas Köhler, Mathias Schneider, Raquel de los Reyes, Emiliano Carmona, Rudolf Richter, Franz Kurz, Peter Reinartz, Rupert Müller
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
spectral unmixing
imaging spectrometer
hyperspectral
benchmark dataset
dimensionality estimation
endmember extraction
Online Access:https://www.mdpi.com/2072-4292/13/13/2559

Internet

https://www.mdpi.com/2072-4292/13/13/2559

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