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 material… Mehr…
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. Buch (fremdspr.) Sebastian Bauer Taschenbuch, KIT Scientific Publishing, 18.07.2018, 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 material… Mehr…
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. Media Buch, 238 Seiten, Media > Books, KIT Scientific Publishing, 2018<
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
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 material… Mehr…
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. Buch (fremdspr.) Sebastian Bauer Taschenbuch, KIT Scientific Publishing, 18.07.2018, KIT Scientific Publishing, 2018<
Nr. 133604041. Versandkosten:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Versandfertig innert 6 - 9 Werktagen, zzgl. Versandkosten. (EUR 16.43)
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 material… Mehr…
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. Media Buch, 238 Seiten, Media > Books, KIT Scientific Publishing, 2018<
Nr. 104726079. Versandkosten:, 2-5 Werktage, DE. (EUR 0.00)
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Detailangaben zum Buch - Hyperspectral Image Unmixing Incorporating Adjacency Information
EAN (ISBN-13): 9783731507888 ISBN (ISBN-10): 3731507889 Taschenbuch Erscheinungsjahr: 2018 Herausgeber: Karlsruher Institut für Technologie
Buch in der Datenbank seit 2018-10-16T16:55:21+02:00 (Berlin) Detailseite zuletzt geändert am 2024-02-15T18:37:50+01:00 (Berlin) ISBN/EAN: 3731507889
ISBN - alternative Schreibweisen: 3-7315-0788-9, 978-3-7315-0788-8 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: sebastian bauer Titel des Buches: karlsruhe, informationstechnik, image, information
Daten vom Verlag:
Autor/in: Sebastian Bauer Titel: Forschungsberichte aus der Industriellen Informationstechnik; Hyperspectral Image Unmixing Incorporating Adjacency Information Verlag: KIT Scientific Publishing 238 Seiten Erscheinungsjahr: 2018-07-18 Gedruckt / Hergestellt in Deutschland. Gewicht: 0,445 kg Sprache: Englisch 46,00 € (DE) 47,30 € (AT) Available graph. Darst.
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.
