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Image Time Series for Near Real Time Airborne Monitoring of Disaster Situations and Traffic Applications

Reinartz, Peter and Kurz, Franz and Rosenbaum, Dominik and Leitloff, Jens and Palubinskas, Gintautas (2010) Image Time Series for Near Real Time Airborne Monitoring of Disaster Situations and Traffic Applications. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38 (part I/W4), pp. 1-6. ISPRS Istanbul Workshop, 11.-13. Oct. 2010, Istanbul, Türkei.

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Near real time monitoring of natural disasters, mass events, and large traffic disasters with airborne optical sensors is a focus of research and development at the German Aerospace Center (DLR). For this purpose, a new airborne camera system was developed named 3K camera system (3K = “3Kopf-Kamera”). Image data are processed onboard on five onboard processing units using data from a real time GPS/IMU system. Processed data are sent to ground via two types of data links, a commercial microwave operating in the S-band. This system is called ARGOS. The data received by the ground antenna are further processed and distributed directly to the ground forces and to different institutions like the ZKI (Center for Satellite Based Crisis Information) and a traffic portal of DLR. The time span between acquisition and reception at the end user is about 5 minutes. Main focus in the current development is the traffic processor, which extracts traffic information like traffic density and vehicle velocity from 3K image sequences. The information from a road database is used for the road and vehicle detection in the georeferenced images. Another application is the thematic mapping of natural disasters like floods, land slides, and damages after earth quakes. The requirements of civil security and rescue forces for a near real time airborne monitoring system were integrated in the first prototype system, which should be ready in the middle of 2009. National cooperation partners are the Federal Office of Civil Protection and Disaster Assistance (BBK) and the Federal Agency for Technical Relief (THW) supplemented by different regional civil security institutions in the two demonstration regions Cologne and Munich. The future plan is to operate a quickly reacting mobile ground station and an airplane on standby for monitoring of natural disasters and mass events. In this paper the relevant parts of the overall system and selected system processes are addressed and described. The experiences made in the flight campaigns of the last years are summarized with focus on the image processing part, e.g. reached accuracies of georeferencing and the traffic processors.

Item URL in elib:https://elib.dlr.de/65692/
Document Type:Conference or Workshop Item (Speech)
Title:Image Time Series for Near Real Time Airborne Monitoring of Disaster Situations and Traffic Applications
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Kurz, Franzfranz.kurz (at) dlr.deUNSPECIFIED
Rosenbaum, Dominikdominik.rosenbaum (at) dlr.deUNSPECIFIED
Leitloff, Jensjens.leitloff (at) dlr.deUNSPECIFIED
Palubinskas, Gintautasgintautas.palubinskas (at) dlr.deUNSPECIFIED
Date:October 2010
Journal or Publication Title:International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-6
Keywords:Aerial cameras, image series, near real time processing, traffic parameter extraction, direct georeferencing, emergency response, middleware
Event Title:ISPRS Istanbul Workshop
Event Location:Istanbul, Türkei
Event Type:Workshop
Event Dates:11.-13. Oct. 2010
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - VABENE (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Reinartz, Prof. Dr.. Peter
Deposited On:18 Oct 2010 07:59
Last Modified:28 Aug 2014 15:29

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