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
Recognition of Forest Damage from Sentinel-2 Satellite Imag..:
, In:
2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
,
Podoprigorova, N.S.
;
Safonov, F.A.
;
Podoprigorova, S.S.
.. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/REEPE60449.2024.10479810
RT T1
2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
: T1
Recognition of Forest Damage from Sentinel-2 Satellite Images Using U-Net, RandomForest and XGBoost
UL https://suche.suub.uni-bremen.de/peid=ieee-10479810&Exemplar=1&LAN=DE A1 Podoprigorova, N.S. A1 Safonov, F.A. A1 Podoprigorova, S.S. A1 Tarasov, A.V. A1 Shikhov, A.N. YR 2024 SN 2831-7262 K1 Radio frequency K1 Training K1 Semantic segmentation K1 Vegetation mapping K1 Forestry K1 Predictive models K1 Boosting K1 forest damage K1 satellite imagery K1 Sentinel-2 data K1 land cover K1 semantic segmentation K1 convolutional neural networks K1 U-Net K1 Random Forest K1 XGBoost SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/REEPE60449.2024.10479810 DO https://doi.org/10.1109/REEPE60449.2024.10479810 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)