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Information extraction using optical and radar remote sensing data fusion

Palubinskas, Gintautas and Makarau, Aliaksei and Reinartz, Peter (2012) Information extraction using optical and radar remote sensing data fusion. ASPRS. ASPRS 2012, 19.-23. March 2012, Sacramento, USA. ISBN 1-57083-096-7

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Abstract

Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. Especially for optical and radar data fusion a special acquisition (orthogonal) geometry is of great importance in order to minimize displacements due to an inaccuracy of the Digital Elevation Model (DEM) used for data ortho-rectification and due to the presence of unknown 3D structures in a scene. Final data spatial alignment is performed manually using ground control points (GCPs) or by a recently proposed automatic co-registration method based on a Mutual Information measure. These data preprocessing steps are of a crucial importance for a success of the following data fusion. For a combination of features originating from different sources, which are quite often non-commensurable, we propose an information fusion framework called INFOFUSE consisting of three main processing steps: feature fission (feature extraction for complete description of a scene), unsupervised clustering (complexity reduction and feature conversion to a common domain) and supervised classification realized by Bayesian/Neural/Graphical networks. Finally, a general data processing chain for multi-sensor data fusion is presented. Examples of buildings in an urban area are presented for very high resolution space borne optical WorldView-2 and radar TerraSAR-X imagery over Munich city, Germany in different acquisition geometries including the orthogonal one. Additionally, theoretical analysis of radar signatures of buildings in urban area and its impact on the joint classification or data fusion is discussed.

Item URL in elib:https://elib.dlr.de/75485/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Information extraction using optical and radar remote sensing data fusion
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Palubinskas, GintautasGintautas.Palubinskas (at) dlr.deUNSPECIFIED
Makarau, AliakseiUNSPECIFIEDUNSPECIFIED
Reinartz, PeterUNSPECIFIEDUNSPECIFIED
Date:2012
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-9
Publisher:ASPRS
ISBN:1-57083-096-7
Status:Published
Keywords:multi-sensor fusion, ortho-rectification, co-registration, classification, change detection
Event Title:ASPRS 2012
Event Location:Sacramento, USA
Event Type:international Conference
Event Dates:19.-23. March 2012
Organizer:ASPRS
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: Palubinskas, Dr.math. Gintautas
Deposited On:12 Apr 2012 12:25
Last Modified:31 Jul 2019 19:35

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