• Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)

GI_Forum 2016, Volume 4, Issue 1

Journal for Geographic Information Science

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)

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GI_Forum 2016, Volume 4, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-7988-7
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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Generation of digital surface models in urban areas using triple-stereo imagery

    Kerstin Kulessa, Stefan Lang

GI_Forum 2016, Volume 4, Issue 1, pp. 65-71, 2016/06/29

Journal for Geographic Information Science

doi: 10.1553/giscience2016_01_s65


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doi:10.1553/giscience2016_01_s65


Abstract

Stereo or even triple-stereo satellite imagery of very high spatial resolution is a versatile source for many applications and analyses. The aim of this short paper is to demonstrate the level of accuracy that can be calculated for digital surface models using triple-stereo data in urban areas. Urban planners benefit from such results thanks to the fast processing time and low cost in comparison to other data, such as LiDAR data. In addition, the data obtained using stereo or triple-stereo technology simultaneously acquire the requisite spectral information. This study used semi-global matching (SGM), which runs a pixel-wise matching of two image pairs. SGM outputs a point cloud for each pair, which is used for the generation of digital surface models (DSMs). The result of the study is a DSM which can be used in urban areas for the estimation of urban volumes such as the vegetation volume or building cubature. Results are evaluated with respect to the overall accuracy, the number of errors, and missing values due to shadows or dark homogeneous areas.

Keywords: remote sensing, triple-stereo, Pléiades, DSM, semi-global matching

Published Online: 2016/06/29 07:02:34

Object Identifier: 0xc1aa5572 0x0033fe8b

Document viewed: Calculating...

Rights: https://creativecommons.org/licenses/by-nd/4.0/