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 decomposition methods taking into account spectral, spatial and global 3D adjacency information. This allows for faster and more accurate decomposition results.This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
CHF 114.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V106:
Fremdlagertitel. Lieferzeit unbestimmt
Produktdetails
- ISBN: 978-1-01-327939-3
- EAN: 9781013279393
- Produktnummer: 35066344
- Verlag: Saint Philip Street Press
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 230 S.
- Masse: H28.6 cm x B22.1 cm x D1.7 cm 852 g
- Abbildungen: HC gerader Rücken kaschiert
- Gewicht: 852
35 weitere Werke von Sebastian Bauer:
Thermo-Hydro-Mechanical-Chemical Processes in Fractured Porous Media: Modelling and Benchmarking
Ebook (PDF Format)
CHF 153.50
Thermo-Hydro-Mechanical-Chemical Processes in Fractured Porous Media: Modelling and Benchmarking
Ebook (PDF Format)
CHF 132.50
Mathematische Optimierung der Wahlkreiseinteilung für die Deutsche Bundestagswahl
Ebook (PDF Format)
CHF 48.50
Thermo-Hydro-Mechanical-Chemical Processes in Fractured Porous Media: Modelling and Benchmarking
Ebook (PDF Format)
CHF 153.50
Bewertungen
Anmelden