Geodetic SAR Tomography

Zhu, Xiao Xiang; Montazeri, Sina; Gisinger, Christoph; Hanssen, Ramon F.; Bamler, Richard

doi:10.1109/tgrs.2015.2448686

Cited by 69 publications

(44 citation statements)

References 43 publications

(39 reference statements)

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“…First examples were already discussed in the literature, e.g., the efficient survey of landmarks along road networks [32] or the stereo measurement of building heights [33]. The synergetic usage of geodetic SAR and SAR tomography is discussed in [34].…”

Section: Discussionmentioning

confidence: 99%

Measurements on the Absolute 2-D and 3-D Localization Accuracy of TerraSAR-X

Balss¹,

Gisinger²,

Eineder³

2018

Remote Sensing

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Abstract:The German TerraSAR-X radar satellites TSX-1 and TDX-1 are well-regarded for their unprecedented geolocation accuracy. However, to access their full potential, Synthetic Aperture Radar (SAR)-based location measurements have to be carefully corrected for effects that are well-known in the area of geodesy but were previously often neglected in the area of SAR, such as wave propagation and Earth dynamics. Our measurements indicate that in this way, when SAR is handled as a geodetic measurement instrument, absolute localization accuracy at better than centimeter level with respect to a given geodetic reference frame is obtained in 2-D and, when using stereo SAR techniques, also in 3-D. The TerraSAR-X measurement results presented in this study are based on a network of three globally distributed geodetic observatories. Each is equipped with one or two trihedral corner reflectors with accurately (<5 mm) known reference coordinates, used as a reference for the verification of the SAR measured coordinates. Because these observatories are located in distant parts of the world, they give us evidence on the worldwide reproducibility of the obtained results. In this paper we report the achieved results of measurements performed over 6 1/2 years (from July 2011 to January 2018) and refer to some first new application areas for geodetic SAR.

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Section: Discussionmentioning

confidence: 99%

Measurements on the Absolute 2-D and 3-D Localization Accuracy of TerraSAR-X

Balss¹,

Gisinger²,

Eineder³

2018

Remote Sensing

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“…In addition, potential errors in the sensor imaging parameters need to be considered in a multi-sensor bundle adjustment framework. In order to forgo the need for external ground control points (GCPs), the high geodetic accuracy provided by TerraSAR-X [15] shall be exploited in that bundle adjustment framework to adjust the less-reliable optical orientation parameters. Thus, besides general 3D reconstruction of urban areas, this research will also benefit applications such as GCP extraction from multi-sensor imagery.…”

Section: Discussionmentioning

confidence: 99%

“…Besides providing us some rules-of-thumb for the expectable SAR-optical sterogrammetry accuracies with respect to different acquisition congurations, the considerations in this section also give us an indication of the potential SAR-optical sterogrammetry accuracy: an accuracy on the same order of the slant range R accuracy is possible. For TerraSAR-X and TanDEM-X, this accuracy can theoretically be at the cm level [15]. For medium-resolution sensors, such as Sentinel-1, the positioning capability is less precise.…”

Section: Same-side Stereomentioning

confidence: 99%

Towards automatic SAR-optical stereogrammetry over urban areas using very high resolution imagery

Qiu

Schmitt

Zhu

2018

ISPRS Journal of Photogrammetry and Remote Sensing

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In this paper we discuss the potential and challenges regarding SAR-optical stereogrammetry for urban areas, using very-high-resolution (VHR) remote sensing imagery. Since we do this mainly from a geometrical point of view, we first analyze the height reconstruction accuracy to be expected for different stereogrammetric configurations. Then, we propose a strategy for simultaneous tie point matching and 3D reconstruction, which exploits an epipolar-like search window constraint. To drive the matching and ensure some robustness, we combine different established hand-crafted similarity measures. For the experiments, we use real test data acquired by the Worldview-2, TerraSAR-X and MEMPHIS sensors. Our results show that SAR-optical stereogrammetry using VHR imagery is generally feasible with 3D positioning accuracies in the meter-domain, although the matching of these strongly hetereogeneous multi-sensor data remains very challenging.

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“…The Tomo-PSInSAR [15,16] technique integrates merits from PSInSAR [3] and SAR tomography [17,18]. Interferograms were generated using the star-graph approach based on the reference imagery selected.…”

Section: Rational Basismentioning

confidence: 99%

Surface Motion and Structural Instability Monitoring of Ming Dynasty City Walls by Two-Step Tomo-PSInSAR Approach in Nanjing City, China

et al. 2017

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Spaceborne Multi-Temporal Synthetic Aperture Radar (SAR) Interferometry (MT-InSAR) has been a valuable tool in mapping motion phenomena in different scenarios. Recently, the capabilities of MT-InSAR for risk monitoring and preventive analysis of heritage sites have increasingly been exploited. Considering the limitations of conventional MT-InSAR techniques, in this study a two-step Tomography-based Persistent Scatterers (PS) Interferometry (Tomo-PSInSAR) approach is proposed for monitoring ground deformation and structural instabilities over the Ancient City Walls (Ming Dynasty) in Nanjing city, China. For the purpose of this study we utilized 26 Stripmap acquisitions from TerraSAR-X and TanDEM-X missions, spanning from May 2013 to February 2015. As a first step, regional-scale surface deformation rates on single PSs were derived (ranging from −40 to +5 mm/year) and used for identifying deformation hotspots as well as for the investigation of a potential correlation between urbanization and the occurrence of surface subsidence. As a second step, structural instability parameters of ancient walls (linear motion rates, non-linear motions and material thermodynamics) were estimated by an extended four-dimensional Tomo-PSInSAR model. The model applies a two-tier network strategy; that is, the detection of most reliable single PSs in the first-tier Delaunay triangulation network followed by the detection of remaining single PSs and double PSs on the second-tier local star network referring to single SPs extracted in the first-tier network. Consequently, a preliminary phase calibration relevant to the Atmospheric Phase Screen (APS) is not needed. Motion heterogeneities in the spatial domain, either caused by thermal kinetics or displacement trends, were also considered. This study underlines the potential of the proposed Tomo-PSInSAR solution for the monitoring and conservation of cultural heritage sites. The proposed approach offers a quantitative indicator to local authorities and planners for assessing potential damages as well as for the design of remediation activities.

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Geodetic SAR Tomography

Cited by 69 publications

References 43 publications

Measurements on the Absolute 2-D and 3-D Localization Accuracy of TerraSAR-X

Measurements on the Absolute 2-D and 3-D Localization Accuracy of TerraSAR-X

Towards automatic SAR-optical stereogrammetry over urban areas using very high resolution imagery

Surface Motion and Structural Instability Monitoring of Ming Dynasty City Walls by Two-Step Tomo-PSInSAR Approach in Nanjing City, China

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