Römer, Hannes und Kersten, Jens und Kiefl, Ralph und Plattner, Stefan und Mager, Alexander und Voigt, Stefan (2013) Airborne near real-time monitoring of assembly and parking areas in case of large scale public events and natural disasters. International Journal of Geographical Information Science, 28 (4), Seiten 682-699. Taylor & Francis. doi: 10.1080/13658816.2013.866240. ISSN 1365-8816.
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Offizielle URL: http://www.tandfonline.com/doi/full/10.1080/13658816.2013.866240#abstract
Kurzfassung
A critical requirement for an effective and coordinated response by public entities tasked with management, security, and relief during large-scale public events or natural disasters is the availability of current situational information. However, today there is a lack of comprehensive operational systems allowing a near-real-time (NRT) collection, visualization, and provision of situational information for larger areas. In this study a methodological framework is proposed, which allows an NRT extraction and visualization of situational information based on aerial image acquisition. The framework combines digital image analysis using a generic supervised information extraction approach based on statistical modeling with a downstream web-based visualization component realized through an automatic update of web services. Even though being applicable for different scenarios, the workflow will be demonstrated for the specific use-case of a NRT monitoring of open spaces including assembly and parking areas. Compared to other approaches, image analysis results indicate a high robustness and a low demand for computational power sources (7 seconds per image). Due to a high degree of automation, the proposed workflow contributes to a NRT ‘end-to-end’ monitoring system, which was developed within the VABENE (German acronym for ‘traffic management under large-scale public events and disaster conditions’) project covering all parts from the acquisition of raw aerial imagery to the dissemination of information products to end-users.
elib-URL des Eintrags: | https://elib.dlr.de/83428/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Titel: | Airborne near real-time monitoring of assembly and parking areas in case of large scale public events and natural disasters | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 23 Dezember 2013 | ||||||||||||||||||||||||||||
Erschienen in: | International Journal of Geographical Information Science | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
Band: | 28 | ||||||||||||||||||||||||||||
DOI: | 10.1080/13658816.2013.866240 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 682-699 | ||||||||||||||||||||||||||||
Verlag: | Taylor & Francis | ||||||||||||||||||||||||||||
ISSN: | 1365-8816 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | traffic monitoring, supervised classification, feature selection, web services, flash, real-time, information extraction | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||||||||||
HGF - Programmthema: | Verkehrsmanagement (alt) | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | V VM - Verkehrsmanagement | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Projekt VABENE (alt) | ||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Deutsches Fernerkundungsdatenzentrum > Georisiken und zivile Sicherheit | ||||||||||||||||||||||||||||
Hinterlegt von: | Römer, Hannes | ||||||||||||||||||||||||||||
Hinterlegt am: | 06 Aug 2013 15:08 | ||||||||||||||||||||||||||||
Letzte Änderung: | 06 Nov 2023 15:16 |
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