I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Prinet: A Prior Driven Spectral Super-Resolution Network:
, In:
2020 IEEE International Conference on Multimedia and Expo (ICME)
,
Hang, Renlong
;
Li, Zhu
;
Liu, Qingshan
. - p. 1-6 , 2020
Link:
https://doi.org/10.1109/ICME46284.2020.9102772
RT T1
2020 IEEE International Conference on Multimedia and Expo (ICME)
: T1
Prinet: A Prior Driven Spectral Super-Resolution Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9102772&Exemplar=1&LAN=DE A1 Hang, Renlong A1 Li, Zhu A1 Liu, Qingshan A1 Bhattacharyya, Shuvra S. YR 2020 SN 1945-788X K1 Hyperspectral imaging K1 Image reconstruction K1 Correlation K1 Spatial resolution K1 Cameras K1 Spectral super-resolution K1 prior knowledge K1 decomposition network K1 self-supervision network SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICME46284.2020.9102772 DO https://doi.org/10.1109/ICME46284.2020.9102772 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)