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
Early Identification of Tobacco Fields Based on Sentinel-1 ..:
, In:
2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
,
Liu, Jieni
;
Li, Mengmeng
;
Wang, Xiaoqin
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/Agro-Geoinformatics59224.2023...
RT T1 <cTitle>2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)</cTitle>: T1 <Title>Early Identification of Tobacco Fields Based on Sentinel-1 SAR Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10233334&Exemplar=1&LAN=DE A1 Liu, Jieni A1 Li, Mengmeng A1 Wang, Xiaoqin A1 Feng, Xiaomin A1 Zhou, Jue A1 Zhang, Hongyu YR 2023 K1 Training K1 Electrical impedance tomography K1 Time series analysis K1 Feature extraction K1 Data models K1 Real-time systems K1 Radar polarimetry K1 tobacco extract K1 earliest identifiable timing (EIT) K1 Sentinel-1A SAR K1 Long Short-Term Memory (LSTM) K1 Fully Convolutional Network (FCN) SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/Agro-Geoinformatics59224.2023.10233334 DO https://doi.org/10.1109/Agro-Geoinformatics59224.2023.10233334 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
