Part of
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.
Umfang: XIII, 203 S.
Preis: €46.00 | £42.00 | $81.00
These are words or phrases in the text that have been
automatically identified by the
Named Entity Recognition and Disambiguation service,
which provides Wikipedia
(
)
and Wikidata
(
)
links for these entities.
Bauer, S. 2018. Hyperspectral Image Unmixing Incorporating Adjacency Information. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000081665
Dieses Buch ist lizenziert unter Creative Commons Attribution + ShareAlike 4.0 Dedication
Dieses Buch ist Peer reviewed. Informationen dazu finden Sie hier
Veröffentlicht am 18. Juli 2018
Englisch
238
| Paperback | 978-3-7315-0788-8 |