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Satellite DEM Improvement Using Multispectral Imagery and an Artificial Neural Network

Kim, Dong Eon and Liu, Jiandong and Liong, Shie-Yui and Gourbesville, Philippe and Strunz, Günter (2021) Satellite DEM Improvement Using Multispectral Imagery and an Artificial Neural Network. Water, 13 (11), pp. 1551-1564. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/w13111551. ISSN 2073-4441.

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Official URL: https://www.mdpi.com/2073-4441/13/11/1551


Item URL in elib:https://elib.dlr.de/142686/
Document Type:Article
Title:Satellite DEM Improvement Using Multispectral Imagery and an Artificial Neural Network
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kim, Dong EonNational University of SingaporeUNSPECIFIEDUNSPECIFIED
Liu, JiandongNational University of SingaporeUNSPECIFIEDUNSPECIFIED
Liong, Shie-YuiNational University of SingaporeUNSPECIFIEDUNSPECIFIED
Gourbesville, PhilippePolytech Nice SophiaUNSPECIFIEDUNSPECIFIED
Strunz, GünterGerman Aerospace CenterUNSPECIFIEDUNSPECIFIED
Date:31 May 2021
Journal or Publication Title:Water
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI:10.3390/w13111551
Page Range:pp. 1551-1564
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2073-4441
Status:Published
Keywords:digital elevation model; remote sensing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Strunz, Dr.-Ing. Günter
Deposited On:12 Jul 2021 09:57
Last Modified:03 Dec 2021 11:01

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