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A new approach of geo-rectification for time series satellite data based on a graph-network

Fichtelmann, Bernd and Borg, Erik (2015) A new approach of geo-rectification for time series satellite data based on a graph-network. In: Computational Science an Its Applications - ICCSA 2015, Part IV, LNCS 9158, pp. 217-232. Springer International Publishing Switzerland. 15th International Conference on Computational Science and its Applications - ICCSA 2015, 22.-25. Juni 2015, Banff, Canada. DOI: 10.1007/978-3-319-21410-8_17 ISBN 978-3-319-21409-2 (Print), 978-3-319-21410-8 (Online)

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-319-21410-8_17#

Abstract

Earth observation is indisputably one of the most important data sources for current synoptic geo-data in diverse environmental applications. Nevertheless, obtained thematic information by means of Earth observation is only as good as the quality of the pre-processed data. Important pre-processing steps are e.g. data usability assessment, geo-referencing and atmospheric correction. While data usability assessment or atmospheric correction expects radiometric corrected data for a thematic interpretation, the accuracy of geo-location of interpreted data is ensured by geo-referencing. This applies especially to multi-temporal analyses of environmental processes. In this case, precise spatial allocation of data represents a prerequisite for a correct interpretation of process dynamics. The paper is dealed with a new geo-referencing algorithm. Corresponding graph-networks in reference data as well as in remote sensing data which are based on virtual object points (e.g. centroids) will be used for geo-rectification.

Item URL in elib:https://elib.dlr.de/96935/
Document Type:Conference or Workshop Item (Speech)
Title:A new approach of geo-rectification for time series satellite data based on a graph-network
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fichtelmann, Berndbernd.fichtelmann (at) dlr.deUNSPECIFIED
Borg, Erikerik.borg (at) dlr.deUNSPECIFIED
Date:25 June 2015
Journal or Publication Title:Computational Science an Its Applications - ICCSA 2015, Part IV, LNCS 9158
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1007/978-3-319-21410-8_17
Page Range:pp. 217-232
Editors:
EditorsEmail
Gervasi, Oswaldoosvaldo@unipg.it
Murgante, Beniaminobeniamino.murgante@unibas.it
Misra, Sanjaysmisra@futminna.edu.ng
Gavrilova, Marina L.mgavrilo@ucalgary.ca
Rocha, Ana Maria Alves Countinhoarocha@dps.uminho.pt
Torre, Carmelotorre@poliba.it
Taniar, Daviddavid.taniar@infotech.monash.edu.au
Apduhan, Bernady O.bob@is.kyusan-u.ac.jp
Publisher:Springer International Publishing Switzerland
ISBN:978-3-319-21409-2 (Print), 978-3-319-21410-8 (Online)
Status:Published
Keywords:Remote sensing, Geo-correction, Image series, LANDSAT
Event Title:15th International Conference on Computational Science and its Applications - ICCSA 2015
Event Location:Banff, Canada
Event Type:international Conference
Event Dates:22.-25. Juni 2015
Organizer:University of Calgary, Calgary, Canada
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: Neustrelitz
Institutes and Institutions:German Remote Sensing Data Center > National Ground Segment
Deposited By: Fichtelmann, Dr.rer.nat. Bernd
Deposited On:04 Aug 2015 10:52
Last Modified:04 Aug 2015 10:52

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