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Towards the reconstruction of prismatic building models by SAR-optical stereogrammetry

Bagheri, Hossein and Schmitt, Michael and Zhu, Xiao Xiang (2019) Towards the reconstruction of prismatic building models by SAR-optical stereogrammetry. JURSE 2019, 22.-24.5.19, Vannes/France. DOI: 10.1109/JURSE.2019.8808985

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Official URL: https://ieeexplore.ieee.org/document/8808985


A huge archive of very high-resolution SAR and optical satellite imagery acquired by different remote sensing satellites provides the opportunity to explore the possibility of 3D-reconstruction by multi-sensor stereogrammetry. This paper investigates the potential of SAR-optical stereogrammetry over urban areas using very-high-resolution imagery acquired by TerraSAR-X and Worldview-2. Furthermore, the potentials and challenges of deriving simple prismatic building models by combining the stereogrammetry results and OpenStreetMap building footprints are discussed. The results of this data fusion research demonstrate the possibility of using SAR-optical stereogrammetry for urban 3D reconstruction at level-of-detail 1.

Item URL in elib:https://elib.dlr.de/130998/
Document Type:Conference or Workshop Item (Speech)
Title:Towards the reconstruction of prismatic building models by SAR-optical stereogrammetry
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bagheri, Hosseintu münchenUNSPECIFIED
Schmitt, MichaelMichael.Schmitt (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:6 December 2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/JURSE.2019.8808985
Page Range:pp. 1-4
Keywords:data fusion, stereogrammetry, 3D reconstruction, dense matching, urban areas, city models
Event Title:JURSE 2019
Event Location:Vannes/France
Event Type:international Conference
Event Dates:22.-24.5.19
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 > EO Data Science
Deposited By: Hong, Danfeng
Deposited On:06 Dec 2019 10:49
Last Modified:06 Dec 2019 10:49

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