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
Aetomo-Net: A Novel Deep Learning Network for Tomographic S..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Ren, Yu
;
Zhang, Xiaoling
;
Hu, Yunqiao
. - p. 3464-3467 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9884512
RT T1
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
: T1
Aetomo-Net: A Novel Deep Learning Network for Tomographic Sar Imaging Based on Multi-Dimensional Features
UL https://suche.suub.uni-bremen.de/peid=ieee-9884512&Exemplar=1&LAN=DE A1 Ren, Yu A1 Zhang, Xiaoling A1 Hu, Yunqiao A1 Zhan, Xu YR 2022 SN 2153-7003 K1 Deep learning K1 Surface reconstruction K1 Computer architecture K1 Tomography K1 Feature extraction K1 Radar polarimetry K1 Sensors K1 Tomographic SAR K1 convolutional neural network K1 multi-dimensional features K1 compressed sensing SP 3464 OP 3467 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9884512 DO https://doi.org/10.1109/IGARSS46834.2022.9884512 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)