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Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest

Berger, C. and Voltersen, M. and Eckardt, R. and Eberle, Jonas and Heyer, T. and Salepci, N. and Hese, S. and Schmullius, Ch. and Tao, Junyi and Auer, Stefan and Bamler, Richard and Ewald, K. and Gartley, M. and Jacobson, J. and Buswell, A. and Du, Q and Pacifici, F (2013) Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (3), pp. 1324-1340. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2013.2245860 ISSN 1939-1404

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Official URL: http://www.grss-ieee.org/publications/jstars/

Abstract

The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial resolution (VHR) multi-modal/multi-temporal image fusion. Three different types of data sets, including spaceborne multi-spectral, spaceborne synthetic aperture radar (SAR), and airborne light detection and ranging (LiDAR) data collected over the downtown San Francisco area were distributed during the Contest. This paper highlights the three awarded research contributions which investigate (i) a new metric to assess urban density (UD) from multi-spectral and LiDAR data, (ii) simulation-based techniques to jointly use SAR and LiDAR data for image interpretation and change detection, and (iii) radiosity methods to improve surface reflectance retrievals of optical data in complex illumination environments. In particular, they demonstrate the usefulness of LiDAR data when fused with optical or SAR data. We believe these interesting investigations will stimulate further research in the related areas.

Item URL in elib:https://elib.dlr.de/83027/
Document Type:Article
Title:Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Berger, C.UNSPECIFIEDUNSPECIFIED
Voltersen, M.UNSPECIFIEDUNSPECIFIED
Eckardt, R.UNSPECIFIEDUNSPECIFIED
Eberle, Jonasjonas.eberle (at) uni-jena.deUNSPECIFIED
Heyer, T.UNSPECIFIEDUNSPECIFIED
Salepci, N.UNSPECIFIEDUNSPECIFIED
Hese, S.UNSPECIFIEDUNSPECIFIED
Schmullius, Ch.UNSPECIFIEDUNSPECIFIED
Tao, Junyitao.junyi (at) dlr.deUNSPECIFIED
Auer, StefanTUMUNSPECIFIED
Bamler, RichardRichard.Bamler (at) dlr.deUNSPECIFIED
Ewald, K.UNSPECIFIEDUNSPECIFIED
Gartley, M.UNSPECIFIEDUNSPECIFIED
Jacobson, J.UNSPECIFIEDUNSPECIFIED
Buswell, A.UNSPECIFIEDUNSPECIFIED
Du, QUNSPECIFIEDUNSPECIFIED
Pacifici, FUNSPECIFIEDUNSPECIFIED
Date:June 2013
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:6
DOI :10.1109/JSTARS.2013.2245860
Page Range:pp. 1324-1340
Editors:
EditorsEmail
Chanussot, JocelynUNSPECIFIED
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Data fusion, LiDAR, multi-modal, multi-temporal, optical, SAR, urban, VHR imagery
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 hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Leitungsbereich MF
Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Reinartz, Prof. Dr.. Peter
Deposited On:24 Jun 2013 14:56
Last Modified:31 Jul 2019 19:41

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