Hyperspectral Image Unmixing Incorporating Adjacency Information - Couverture souple

Bauer, Sebastian

9783731507888: Hyperspectral Image Unmixing Incorporating Adjacency Information

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ISBN 10 : 3731507889 ISBN 13 : 9783731507888

Editeur : KIT Scientific Publishing, 2018

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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.

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�diteur: KIT Scientific Publishing
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3731507889
ISBN 13: 9783731507888
Reliure: Broch�
Nombre de pages: 238
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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Hyperspectral Image Unmixing Incorporating Adjacency Information

Bauer, Sebastian

Edit� par KIT Scientific Publishing, 2018

ISBN 10 : 3731507889 ISBN 13 : 9783731507888

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. N� de r�f. du vendeur 385772983

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Hyperspectral Image Unmixing Incorporating Adjacency Information

Sebastian Bauer

Edit� par Karlsruher Institut F�r Technologie, 2018

ISBN 10 : 3731507889 ISBN 13 : 9783731507888

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783731507888

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Hyperspectral Image Unmixing Incorporating Adjacency Information

Sebastian Bauer

Edit� par Karlsruher Institut F�r Technologie Jul 2018, 2018

ISBN 10 : 3731507889 ISBN 13 : 9783731507888

Neuf Taschenbuch

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 238 pp. Englisch. N� de r�f. du vendeur 9783731507888

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Hyperspectral Image Unmixing Incorporating Adjacency Information

Sebastian Bauer

Edit� par Karlsruher Institut F�r Technologie, Karlsruher Institut F�r Technologie Jul 2018, 2018

ISBN 10 : 3731507889 ISBN 13 : 9783731507888

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -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.Books on Demand GmbH, �berseering 33, 22297 Hamburg 238 pp. Englisch. N� de r�f. du vendeur 9783731507888

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