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Traffic Classification And Speed Estimation In Time Series Of Airborne Optical Remote Sensing Images

Palubinskas, Gintautas und Reinartz, Peter (2010) Traffic Classification And Speed Estimation In Time Series Of Airborne Optical Remote Sensing Images. ISPRS. ISPRS Technical Commision III Symposium - Photogrammetric Computer Vision and Image Analysis (PCV), 2010-09-01 - 2010-09-03, Saint-Mande (Paris), France. ISSN 1682-1750.

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Kurzfassung

In this paper we propose a new two level traffic parameter estimation approach based on traffic classification into three classes: free flow, congested and stopped traffic in image time series of airborne optical remote sensing data. The proposed method is based on the combination of various techniques: change detection in two images, image processing such as binarization and filtering and incorporation of a priori information such as road network, information about vehicles and roads and finally usage of traffic models. The change detection in two images with a short time lag of several seconds is implemented using the multivariate alteration detection method resulting in a change image where the moving vehicles on the roads are highlighted. Further, image processing techniques are applied to derive the vehicle density in the binarized and denoised change image. Finally, this estimated vehicle density is related to the vehicle density, acquired by modelling the traffic flow for a road segment. The model is derived from traffic classification, a priori information about the vehicle sizes and road parameters, the road network and the spacing between the vehicles. Then, the modelled vehicle density is directly related to the average vehicle speed on the road segment and thus the information about the traffic situation can be derived. To confirm our idea and to validate the method several flight campaigns with the DLR airborne experimental wide angle optical 3K digital camera system operated on a Do-228 aircraft were conducted. Experiments are carried out to analyse the performance of the proposed traffic parameter estimation method for highways and main streets in the cities. The estimated speed profiles coincide qualitatively and quantitatively well with the reference measurements.

elib-URL des Eintrags:https://elib.dlr.de/65198/
Dokumentart:Konferenzbeitrag (Paper, Poster)
Titel:Traffic Classification And Speed Estimation In Time Series Of Airborne Optical Remote Sensing Images
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Palubinskas, GintautasGintautas.Palubinskas (at) dlr.dehttps://orcid.org/0000-0001-7322-7917NICHT SPEZIFIZIERT
Reinartz, PeterNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2010
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Band:XXXVIII
Seitenbereich:Seiten 37-42
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
ISPRS, Commission IIINICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Verlag:ISPRS
ISSN:1682-1750
Status:veröffentlicht
Stichwörter:Classification, estimation, modelling, change detection, sequences, aerial, optical, imagery
Veranstaltungstitel:ISPRS Technical Commision III Symposium - Photogrammetric Computer Vision and Image Analysis (PCV)
Veranstaltungsort:Saint-Mande (Paris), France
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:1 September 2010
Veranstaltungsende:3 September 2010
Veranstalter :ISPRS
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 - VABENE (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse
Hinterlegt von: Palubinskas, Dr.math. Gintautas
Hinterlegt am:04 Okt 2010 10:41
Letzte Änderung:24 Apr 2024 19:30

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