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
Hyperspectral Detection and Unmixing of Subpixel Target Usi..:
Ling, Qiang
;
Li, Kun
;
Li, Zhaoxu
..
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15 (2022) - p. 1049-1063 , 2022
Link:
https://doi.org/10.1109/jstars.2022.3140389
RT Journal T1
Hyperspectral Detection and Unmixing of Subpixel Target Using Iterative Constrained Sparse Representation
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_jstars.2022.3140389&Exemplar=1&LAN=DE A1 Ling, Qiang A1 Li, Kun A1 Li, Zhaoxu A1 Lin, Zaiping A1 Wang, Jiawen PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 1939-1404 SN 2151-1535 JF IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing VO 15 SP 1049 OP 1063 LK http://dx.doi.org/https://doi.org/10.1109/jstars.2022.3140389 DO https://doi.org/10.1109/jstars.2022.3140389 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)