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 Deep Learning Based Self-Evolving Oil Spill Detection Alg..:
, In:
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
,
Li, Chenglei
;
Park, Soyeon
;
Kim, Duk-Jin
. - p. 1289-1292 , 2023
Link:
https://doi.org/10.1109/IGARSS52108.2023.10281695
RT T1 <cTitle>IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>A Deep Learning Based Self-Evolving Oil Spill Detection Algorithm Using Sentinel-1 SAR Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10281695&Exemplar=1&LAN=DE A1 Li, Chenglei A1 Park, Soyeon A1 Kim, Duk-Jin A1 Kim, Junwoo YR 2023 SN 2153-7003 K1 Training K1 Sea surface K1 Satellite constellations K1 Oils K1 European Space Agency K1 Training data K1 Geoscience and remote sensing K1 SAR K1 Oil spill K1 Self-evolving K1 Look-alikes SP 1289 OP 1292 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS52108.2023.10281695 DO https://doi.org/10.1109/IGARSS52108.2023.10281695 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
