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
Pseudo Complex-Valued Deformable ConvLSTM Neural Network Wi..:
Hu, Wen-Shuai
;
Li, Heng-Chao
;
Wang, Rui
...
IEEE Transactions on Geoscience and Remote Sensing. 60 (2022) - p. 1-17 , 2022
Link:
https://doi.org/10.1109/tgrs.2022.3188791
RT Journal T1
Pseudo Complex-Valued Deformable ConvLSTM Neural Network With Mutual Attention Learning for Hyperspectral Image Classification
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tgrs.2022.3188791&Exemplar=1&LAN=DE A1 Hu, Wen-Shuai A1 Li, Heng-Chao A1 Wang, Rui A1 Gao, Feng A1 Du, Qian A1 Plaza, Antonio PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 0196-2892 SN 1558-0644 JF IEEE Transactions on Geoscience and Remote Sensing VO 60 SP 1 OP 17 LK http://dx.doi.org/https://doi.org/10.1109/tgrs.2022.3188791 DO https://doi.org/10.1109/tgrs.2022.3188791 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)