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 approach for early wildfire detection from ..:
, In:
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)
,
Toan, Nguyen Thanh
;
Thanh Cong, Phan
;
Viet Hung, Nguyen Quoc
. - p. 38-45 , 2019
Link:
https://doi.org/10.1109/RITAPP.2019.8932740
RT T1
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA)
: T1
A deep learning approach for early wildfire detection from hyperspectral satellite images
UL https://suche.suub.uni-bremen.de/peid=ieee-8932740&Exemplar=1&LAN=DE A1 Toan, Nguyen Thanh A1 Thanh Cong, Phan A1 Viet Hung, Nguyen Quoc A1 Jo, Jun YR 2019 K1 Satellites K1 Streaming media K1 Deep learning K1 Data visualization K1 Monitoring K1 Data processing K1 Clouds SP 38 OP 45 LK http://dx.doi.org/https://doi.org/10.1109/RITAPP.2019.8932740 DO https://doi.org/10.1109/RITAPP.2019.8932740 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)