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
Estimating Forest Heights and Wood Volume using a Deep Lear..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Fayad, Ibrahim
;
Ienco, Dino
;
Baghdadi, Nicolas
... - p. 7301-7304 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883973
RT T1
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
: T1
Estimating Forest Heights and Wood Volume using a Deep Learning Approach from Gedi Waveform Data
UL https://suche.suub.uni-bremen.de/peid=ieee-9883973&Exemplar=1&LAN=DE A1 Fayad, Ibrahim A1 Ienco, Dino A1 Baghdadi, Nicolas A1 Gaetano, Raffaele A1 Alvares, Clayton Alcarde A1 Stape, Jose Luiz A1 Scolforo, Henrique Ferraco A1 Le Maire, Guerric YR 2022 SN 2153-7003 K1 Measurement K1 Radio frequency K1 Deep learning K1 Laser radar K1 Instruments K1 Estimation K1 Forestry K1 Lidar K1 GEDI K1 Dominant height K1 Wood volume K1 Eucalyptus K1 Brazil K1 CNN SP 7301 OP 7304 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883973 DO https://doi.org/10.1109/IGARSS46834.2022.9883973 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)