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
Research on Target Location Tracking Method of Power Inspec..:
, In:
2023 3rd International Conference on New Energy and Power Engineering (ICNEPE)
,
Li, Wenbo
;
Fan, Daoqing
;
Su, Yihui
.. - p. 323-326 , 2023
Link:
https://doi.org/10.1109/ICNEPE60694.2023.10429102
RT T1 <cTitle>2023 3rd International Conference on New Energy and Power Engineering (ICNEPE)</cTitle>: T1 <Title>Research on Target Location Tracking Method of Power Inspection Based on Multi-Spectral Image Registration</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10429102&Exemplar=1&LAN=DE A1 Li, Wenbo A1 Fan, Daoqing A1 Su, Yihui A1 Fan, Sheng A1 Lin, Laixin YR 2023 K1 Image registration K1 Technological innovation K1 Target tracking K1 Image coding K1 Shape K1 Inspection K1 Mutual information K1 Multispectral image registration K1 Power inspection objectives K1 Positioning and tracking method K1 Automatic coding machine learning K1 Image deep feature SP 323 OP 326 LK http://dx.doi.org/https://doi.org/10.1109/ICNEPE60694.2023.10429102 DO https://doi.org/10.1109/ICNEPE60694.2023.10429102 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
