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
Improving spatial resolution of LANDSAT spectral bands from..:
, In:
2019 13th International Conference on Sensing Technology (ICST)
,
Marques, Ademir
;
Rossa, Pedro
;
Horota, Rafael Kenji
... - p. 1-6 , 2019
Link:
https://doi.org/10.1109/ICST46873.2019.9047670
RT T1
2019 13th International Conference on Sensing Technology (ICST)
: T1
Improving spatial resolution of LANDSAT spectral bands from a single RGB image using artificial neural network
UL https://suche.suub.uni-bremen.de/peid=ieee-9047670&Exemplar=1&LAN=DE A1 Marques, Ademir A1 Rossa, Pedro A1 Horota, Rafael Kenji A1 Brum, Diego A1 de Souza, Eniuce Menezes A1 Aires, Alyson Soares A1 Kupssinsku, Lucas A1 Veronez, Mauricio Roberto A1 Gonzaga, Luis A1 Cazarin, Caroline Lessio YR 2019 SN 2156-8073 K1 Earth K1 Remote sensing K1 Spatial resolution K1 Artificial satellites K1 Satellites K1 Google K1 Landsat K1 high resolution K1 prediction K1 multispectral K1 Artificial Neural Networks SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICST46873.2019.9047670 DO https://doi.org/10.1109/ICST46873.2019.9047670 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)