elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

On the assessment of SMOS salinity retrieval by using support vector regression (SVR)

Sabia, Roberto and Marconcini, Mattia and Fernández-Prieto, Diego and Portabella, Marcos (2003) On the assessment of SMOS salinity retrieval by using support vector regression (SVR). IGARSS 2013, 21-26 Jul 2013, Melbourne, Australia.

[img] PDF - Registered users only
206kB

Item URL in elib:https://elib.dlr.de/83387/
Document Type:Conference or Workshop Item (Paper, Poster)
Title:On the assessment of SMOS salinity retrieval by using support vector regression (SVR)
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Sabia, RobertoEuropean Space Agency, ESA-ESRIN, Frascati, ItalyUNSPECIFIED
Marconcini, MattiaMattia.Marconcini (at) dlr.deUNSPECIFIED
Fernández-Prieto, DiegoEuropean Space Agency, ESA-ESRIN, Frascati, ItalyUNSPECIFIED
Portabella, MarcosBarcelona Expert Centre, ICM-CSIC, Barcelona, SpainUNSPECIFIED
Date:July 2003
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:SMOS, Ocean Salinity, Regression, Support Vector Machines
Event Title:IGARSS 2013
Event Location:Melbourne, Australia
Event Type:international Conference
Event Dates:21-26 Jul 2013
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Marconcini, Mattia
Deposited On:17 Jul 2013 13:36
Last Modified:17 Jul 2013 13:36

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.