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
A Contextual Bidirectional Enhancement Method for Remote Se..:
Zhang, Jun
;
Xie, Changming
;
Xu, Xia
..
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13 (2020) - p. 4518-4531 , 2020
Link:
https://doi.org/10.1109/jstars.2020.3015049
RT Journal T1 <Title>A Contextual Bidirectional Enhancement Method for Remote Sensing Image Object Detection</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_jstars.2020.3015049&Exemplar=1&LAN=DE A1 Zhang, Jun A1 Xie, Changming A1 Xu, Xia A1 Shi, Zhenwei A1 Pan, Bin PB Institute of Electrical and Electronics Engineers (IEEE) YR 2020 SN 1939-1404 SN 2151-1535 JF IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing VO 13 SP 4518 OP 4531 LK http://dx.doi.org/https://doi.org/10.1109/jstars.2020.3015049 DO https://doi.org/10.1109/jstars.2020.3015049 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
