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A framework for SAR-optical stereogrammetry over urban areas

Bagheri, Hossein and Schmitt, Michael and d'Angelo, Pablo and Zhu, Xiao Xiang (2018) A framework for SAR-optical stereogrammetry over urban areas. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 389 - 408. Elsevier. DOI: 10.1016/j.isprsjprs.2018.10.003 ISSN 0924-2716

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Official URL: http://www.sciencedirect.com/science/article/pii/S0924271618302739


Currently, numerous remote sensing satellites provide a huge volume of diverse earth observation data. As these data show different features regarding resolution, accuracy, coverage, and spectral imaging ability, fusion techniques are required to integrate the different properties of each sensor and produce useful information. For example, synthetic aperture radar (SAR) data can be fused with optical imagery to produce 3D information using stereogrammetric methods. The main focus of this study is to investigate the possibility of applying a stereogrammetry pipeline to very-high-resolution (VHR) SAR-optical image pairs. For this purpose, the applicability of semi-global matching is investigated in this unconventional multi-sensor setting. To support the image matching by reducing the search space and accelerating the identification of correct, reliable matches, the possibility of establishing an epipolarity constraint for VHR SAR-optical image pairs is investigated as well. In addition, it is shown that the absolute geolocation accuracy of VHR optical imagery with respect to VHR SAR imagery such as provided by TerraSAR-X can be improved by a multi-sensor block adjustment formulation based on rational polynomial coefficients. Finally, the feasibility of generating point clouds with a median accuracy of about 2 m is demonstrated and confirms the potential of 3D reconstruction from SAR-optical image pairs over urban areas.

Item URL in elib:https://elib.dlr.de/122647/
Document Type:Article
Title:A framework for SAR-optical stereogrammetry over urban areas
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bagheri, Hosseinhossein.bagheri (at) tum.deUNSPECIFIED
Schmitt, Michaelm.schmitt (at) tum.deUNSPECIFIED
d'Angelo, Pablopablo.angelo (at) dlr.dehttps://orcid.org/0000-0001-8541-3856
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:December 2018
Journal or Publication Title:ISPRS Journal of Photogrammetry and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1016/j.isprsjprs.2018.10.003
Page Range:389 - 408
Keywords:Epipolarity constraint, Multi-sensor block adjustment, Dense image matching, 3D reconstruction, SAR-optical stereogrammetry
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
Remote Sensing Technology Institute > EO Data Science
Deposited By: Angelo, Dr. Pablo
Deposited On:02 Nov 2018 11:09
Last Modified:01 Jan 2020 03:00

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