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Alphabet-based Multisensory Data Fusion and Classification using Factor Graphs

Makarau, Aliaksei and Palubinskas, Gintautas and Reinartz, Peter (2013) Alphabet-based Multisensory Data Fusion and Classification using Factor Graphs. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (2), pp. 969-990. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2012.2219507 ISSN 1939-1404

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

Abstract

The way of multisensory data integration is a crucial step of any data fusion method. Different physical types of sensors (optic, thermal, acoustic, or radar) with different resolutions, and different types of GIS digital data (elevation, vector map) require a proper method for data integration. Incommensurability of the data may not allow to use conventional statistical methods for fusion and processing of the data. A correct and established way of multisensory data integration is required to deal with such incommensurable data as the employment of an inappropriate methodology may lead to errors in the fusion process. To perform a proper multisensory data fusion several strategies were developed (Bayesian, linear (log linear) opinion pool, neural networks, fuzzy logic approaches). Employment of these approaches is motivated by weighted consensus theory, which lead to fusion processes that are correctly performed for the variety of data properties.

Item URL in elib:https://elib.dlr.de/77804/
Document Type:Article
Title:Alphabet-based Multisensory Data Fusion and Classification using Factor Graphs
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Makarau, AliakseiAliaksei.Makarau (at) dlr.deUNSPECIFIED
Palubinskas, GintautasGintautas.Palubinskas (at) dlr.deUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:May 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.2012.2219507
Page Range:pp. 969-990
Editors:
EditorsEmail
Chanussot, JocelynGrenoble Institute of Technology, France
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Multisensor data, fusion, classification, graphical models, factor graphs, WorldView-2, TerraSAR-X
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 > Photogrammetry and Image Analysis
Deposited By: Makarau, Aliaksei
Deposited On:15 Oct 2012 07:40
Last Modified:31 Jul 2019 19:37

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