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
Comparing U-Net Convolutional Network with Mask R-CNN in Ag..:
, In:
2020 7th NAFOSTED Conference on Information and Computer Science (NICS)
,
Quoc, Thinh Tran Pham
;
Linh, Tam Tran
;
Minh, Thu Nguyen Tran
- p. 124-129 , 2020
Link:
https://doi.org/10.1109/NICS51282.2020.9335856
RT T1
2020 7th NAFOSTED Conference on Information and Computer Science (NICS)
: T1
Comparing U-Net Convolutional Network with Mask R-CNN in Agricultural Area Segmentation on Satellite Images
UL https://suche.suub.uni-bremen.de/peid=ieee-9335856&Exemplar=1&LAN=DE A1 Quoc, Thinh Tran Pham A1 Linh, Tam Tran A1 Minh, Thu Nguyen Tran YR 2020 K1 Deep learning K1 Image segmentation K1 Satellites K1 Statistical analysis K1 Market research K1 Object recognition K1 Remote sensing K1 segmentation K1 Mask R-CNN K1 U-Net K1 agricultural areas K1 satellite images SP 124 OP 129 LK http://dx.doi.org/https://doi.org/10.1109/NICS51282.2020.9335856 DO https://doi.org/10.1109/NICS51282.2020.9335856 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)