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Factor graph models for for multisensory data fusion: from low-level features to high level interpretation

Makarau, Aliaksei and Palubinskas, Gintautas and Reinartz, Peter (2012) Factor graph models for for multisensory data fusion: from low-level features to high level interpretation. IEEE Xplore. IGARSS 2012, 22-27 July, Munich.

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Official URL: http://ieeexplore.ieee.org/Xplore/guesthome.jsp

Abstract

A solution of difficult tasks in remotely sensed data information extraction can be reached by the development of more complex models. The most important step is in the selection of a relevant and universal methodology for data interpretation, classification, fusion, object detection, etc. Probabilistic graphical models become a more and more popular way for image data annotation and classification. Factorgraphs possess important properties such as probabilistic nature, explicit factorization properties, approximate inference, plausible inference of non-full data, easy augmenting, etc., and become relevant for the use in data interpretation systems. In this paper we present several applications of factor graphs for single/multisensory data fusion, classification, and an extension of the graph structure to extract landcover from unseen data. The application of factor graphs allow to obtain an improvement in data fusion/classification accuracy.

Item URL in elib:https://elib.dlr.de/76282/
Document Type:Conference or Workshop Item (Speech)
Title:Factor graph models for for multisensory data fusion: from low-level features to high level interpretation
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Makarau, AliakseiIMF-PBUNSPECIFIED
Palubinskas, GintautasIMF-PBUNSPECIFIED
Reinartz, PeterIMF-PBUNSPECIFIED
Date:July 2012
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 162-165
Publisher:IEEE Xplore
Status:Published
Keywords:Fusion, classification, factor graphs, WorldView-2
Event Title:IGARSS 2012
Event Location:Munich
Event Type:international Conference
Event Dates:22-27 July
Organizer:IEEE GRSS
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:10 Jul 2012 07:32
Last Modified:31 Jul 2019 19:36

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