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
Robust Self-supervised Correspondence Learning for SAR-opti..:
, In:
2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
,
An, Chengjin
;
Cao, Fanzhi
;
Wang, Pu
. - p. 49-53 , 2022
Link:
https://doi.org/10.1109/CEI57409.2022.9950181
RT T1
2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI)
: T1
Robust Self-supervised Correspondence Learning for SAR-optical Image Matching
UL https://suche.suub.uni-bremen.de/peid=ieee-9950181&Exemplar=1&LAN=DE A1 An, Chengjin A1 Cao, Fanzhi A1 Wang, Pu A1 Shi, Tianxin YR 2022 K1 Deep learning K1 Training K1 Correlation K1 Image matching K1 Optical imaging K1 Optical sensors K1 Task analysis K1 component K1 Correspondence learning K1 feature matching K1 SAR K1 remote sensing K1 deep learning K1 unsupervised learning SP 49 OP 53 LK http://dx.doi.org/https://doi.org/10.1109/CEI57409.2022.9950181 DO https://doi.org/10.1109/CEI57409.2022.9950181 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)