Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data

Multitemporal spectral unmixing (SU) is a powerful tool to process hyperspectral image (HI) sequences due to its ability to reveal the evolution of materials over time and space in a scene. However, significant spectral variability is often observed between collection of images due to variations in...

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Veröffentlicht in:	IEEE transactions on computational imaging 2021, Vol.7, p.975-988
Hauptverfasser:	Borsoi, Ricardo Augusto, Imbiriba, Tales, Bermudez, Jose Carlos Moreira, Richard, Cedric
Format:	Artikel
Sprache:	eng
Schlagworte:	Active appearance model Algorithms Artificial Intelligence Complexity Computational complexity Computational modeling Computer Science Computing costs Endmember variability Engineering Sciences hyperspectral data Hyperspectral imaging Image acquisition Imaging Libraries MESMA multitemporal Signal and Image processing Spectra spectral unmixing Task analysis
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