Bagheri, Hossein and Schmitt, Michael and Zhu, Xiao Xiang (2019) Towards the reconstruction of prismatic building models by SAR-optical stereogrammetry. JURSE 2019, 2019-05-22 - 2019-05-24, Vannes/France. doi: 10.1109/JURSE.2019.8808985.
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Official URL: https://ieeexplore.ieee.org/document/8808985
Abstract
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/ | ||||||||||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||
Title: | Towards the reconstruction of prismatic building models by SAR-optical stereogrammetry | ||||||||||||||||
Authors: |
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Date: | 2019 | ||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||
Open Access: | Yes | ||||||||||||||||
Gold Open Access: | No | ||||||||||||||||
In SCOPUS: | No | ||||||||||||||||
In ISI Web of Science: | No | ||||||||||||||||
DOI: | 10.1109/JURSE.2019.8808985 | ||||||||||||||||
Page Range: | pp. 1-4 | ||||||||||||||||
Status: | Published | ||||||||||||||||
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 Start Date: | 22 May 2019 | ||||||||||||||||
Event End Date: | 24 May 2019 | ||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
HGF - Program: | Space | ||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||
DLR - Research theme (Project): | R - Vorhaben hochauflösende Fernerkundungsverfahren (old) | ||||||||||||||||
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: | 24 Apr 2024 20:34 |
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