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Exploiting Satellite Focal Plane Geometry for automatic Extraction of Traffic Flow from single optical Satellite Imagery

Krauß, Thomas (2014) Exploiting Satellite Focal Plane Geometry for automatic Extraction of Traffic Flow from single optical Satellite Imagery. In: ISPRS Archives, XL-1, pp. 179-187. Copernicus Verlag. PECORA 19, 17-20 Nov 2014, Denver, CO, USA. DOI: 10.5194/isprsarchives-XL-1-179-2014

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Official URL: http://pecora.asprs.org/index.php

Abstract

The focal plane assembly of most pushbroom scanner satellites is built up in a way that different multispectral or multispectral and panchromatic bands are not all acquired exactly at the same time. This effect is due to offsets of some millimeters of the CCD-lines in the focal plane. Exploiting this special configuration allows the detection of objects moving during this small time span. In this paper we present a method for automatic detection and extraction of moving objects – mainly traffic – from single very high resolution optical satellite imagery of different sensors. The sensors investigated are WorldView-2, RapidEye, Pl´eiades and also the new SkyBox satellites. Different sensors require different approaches for detecting moving objects. Since the objects are mapped on different positions only in different spectral bands also the change of spectral properties have to be taken into account. In case the main distance in the focal plane is between the multispectral and the panchromatic CCD-line like for Pl´eiades an approach for weighted integration to receive mostly identical images is investigated. Other approaches for RapidEye and WorldView-2 are also shown. From these intermediate bands difference images are calculated and a method for detecting the moving objects from these difference images is proposed. Based on these presented methods images from different sensors are processed and the results are assessed for detection quality – how many moving objects can be detected, how many are missed – and accuracy – how accurate is the derived speed and size of the objects. Finally the results are discussed and an outlook for possible improvements towards operational processing is presented

Item URL in elib:https://elib.dlr.de/92980/
Document Type:Conference or Workshop Item (Speech)
Title:Exploiting Satellite Focal Plane Geometry for automatic Extraction of Traffic Flow from single optical Satellite Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Date:November 2014
Journal or Publication Title:ISPRS Archives
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XL-1
DOI :10.5194/isprsarchives-XL-1-179-2014
Page Range:pp. 179-187
Editors:
EditorsEmail
UNSPECIFIEDISPRS
Publisher:Copernicus Verlag
Status:Published
Keywords:Optical Satellite Data, Focal plane assembly, Traffic detection, Moving objects detection
Event Title:PECORA 19
Event Location:Denver, CO, USA
Event Type:international Conference
Event Dates:17-20 Nov 2014
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:INVALID USER
Deposited On:03 Dec 2014 09:58
Last Modified:31 Jul 2019 19:50

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