Hyperspectral Image Unmixing Incorporating Adjacency Information

While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials' spectra and therefore need to be decomposed into their constituents. This work investigates new decomposi...

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Bibliographic Details
Main Author: Bauer, Sebastian (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2018
Series:Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie
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Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Hyperspectral Image Unmixing Incorporating Adjacency Information 
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520 |a While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials' spectra and therefore need to be decomposed into their constituents. This work investigates new decomposition methods taking into account spectral, spatial and global 3D adjacency information. This allows for faster and more accurate decomposition results. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-sa/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a Spektrale Entmischung 
653 |a spectral unmixing 
653 |a Blinde Quellentrennung 
653 |a Hyperspectral image processing 
653 |a Nichtnegative Matrixzerlegung 
653 |a nonnegative matrix factorization 
653 |a blind source separation 
653 |a Hyperspektrale Bildverarbeitung 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/49739  |7 0  |z DOAB: description of the publication