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Extraction and modelling of three-dimensional Urban Objects from VHR Satellite Stereo Imagery

Krauß, Thomas (2016) Extraction and modelling of three-dimensional Urban Objects from VHR Satellite Stereo Imagery. In: Proceedings of Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 9688, 96880E-1. SPIE digital library. RSCy2016, 4. - 8. Apr. 2016, Paphos, Cyprus. DOI: 10.1117/12.2240570

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Official URL: http://proceedings.spiedigitallibrary.org/volume.aspx?volumeid=17732

Abstract

The work presented in this paper shows the possibility of an automatic extraction of three dimensional urban objects from very high resolution (VHR) satellite scenes from anywhere of the world. Actual VHR satellites like GeoEye, World-View-2 or 3 or the Pliades system have ground sampling distances (GSD, “pixel sizes”) of 0.3 to 0.7 centimetres. All these systems allow also the acquisition of in-orbit-stereo-images. These are two or more images of the same location on ground acquired in the same orbit of the satellite from different viewing angles mostly only some seconds apart. From such stereo or – if more than two images were acquired – multistereo images in a first step a high resolution digital surface model (DSM) can be extracted with the same GSD as the stereo imagery. In the second step the inevitable errors and holes in the generated DSM will be filled and corrected using the multispectral imagery. Beneath the very high resolution panchromatic images which are used for the generation of the DSM also lower resolution – normally about 1/4 of the resolution of the panchromatic bands – multi-spectral images are acquired. These contain at least the four visible/NIR (VNIR) bands blue, green, red and near-infrared (NIR). Some sensors have more VNIR bands like World-View-2 (coastal, blue, green, yellow, red, red-edge and two NIR bands) or even additionally short-wave-infrared (SWIR) bands like World-View-3. From these mutispectral bands in a third step a spectral classification can be derived. This classification is used mainly for discrimination of vegetation and non-vegetation areas and the detection of water areas. The last step in this pre-processing comprises the correct orthorectification of the DSM and the pan-sharpened multispectral image. After this pre-processing of the stereo-imagery urban objects like buildings, trees, roads, bridges, and so on can be detected and in a last step these objects will be modeled to produce a final object-model of the satellite-scene or parts of it. In this paper the method is described and applied to an example satellite imagery.

Item URL in elib:https://elib.dlr.de/104443/
Document Type:Conference or Workshop Item (Speech)
Title:Extraction and modelling of three-dimensional Urban Objects from VHR Satellite Stereo Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Date:2016
Journal or Publication Title:Proceedings of Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:9688
DOI :10.1117/12.2240570
Page Range:96880E-1
Editors:
EditorsEmail
Themistocleous, KyriacosUNSPECIFIED
Hadjimitsis, Diofantos G.UNSPECIFIED
Michaelides, SilasUNSPECIFIED
Papadavid, GiorgosUNSPECIFIED
Publisher:SPIE digital library
Status:Published
Keywords:3D Remote Sensing, Urban Objects, DSM correction, Classification
Event Title:RSCy2016
Event Location:Paphos, Cyprus
Event Type:international Conference
Event Dates:4. - 8. Apr. 2016
Organizer:Cyprus Remote Sensing Society
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:06 Jun 2016 09:04
Last Modified:31 Jul 2019 20:01

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