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
Detection method for Convallaria keiskei colonies in Hokkai..:
Shirai, Hikaru
;
Kageyama, Yoichi
;
Nagamoto, Daisuke
...
Ecological Informatics. 69 (2022) - p. 101649 , 2022
Link:
https://doi.org/10.1016/j.ecoinf.2022.101649
RT Journal T1
Detection method for Convallaria keiskei colonies in Hokkaido, Japan, by combining CNN and FCM using UAV-based remote sensing data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ecoinf.2022.101649&Exemplar=1&LAN=DE A1 Shirai, Hikaru A1 Kageyama, Yoichi A1 Nagamoto, Daisuke A1 Kanamori, Yuki A1 Tokunaga, Naoki A1 Kojima, Teruo A1 Akisawa, Masae PB Elsevier BV YR 2022 SN 1574-9541 JF Ecological Informatics VO 69 SP 101649 LK http://dx.doi.org/https://doi.org/10.1016/j.ecoinf.2022.101649 DO https://doi.org/10.1016/j.ecoinf.2022.101649 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)