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Towards automatic SAR-optical stereogrammetry over urban areas using very high resolution imagery
Chunping Qiu1, Michael Schmitt1, Xiao Xiang Zhu1,2
1Signal Processing in Earth Observation, Technical University of Munich (TUM), Munich, Germany.
ISPRS Journal of Photogrammetry and Remote Sensing : Official Publication of the International Society for Photogrammetry and Remote Sensing (ISPRS)
|April 5, 2018
Summary
This study explores the feasibility of Synthetic Aperture Radar (SAR)-optical stereogrammetry for urban 3D mapping using very-high-resolution (VHR) imagery. Results indicate meter-domain accuracy is achievable, though data fusion presents significant challenges.
Area of Science:
- Geosciences
- Photogrammetry
- Remote Sensing
Background:
- Urban 3D mapping requires high-resolution data.
- Combining SAR and optical imagery offers complementary information.
- Stereogrammetry is a key technique for 3D reconstruction.
Purpose of the Study:
- To assess the potential and challenges of SAR-optical stereogrammetry for urban areas.
- To analyze height reconstruction accuracy using very-high-resolution (VHR) remote sensing data.
- To develop a strategy for robust tie point matching and 3D reconstruction.
Main Methods:
- Geometric analysis of stereogrammetric configurations.
- Development of a simultaneous tie point matching and 3D reconstruction strategy.
- Utilizing epipolar-like search window constraints and hand-crafted similarity measures.
- Experimental validation with Worldview-2, TerraSAR-X, and MEMPHIS sensor data.
Main Results:
- SAR-optical stereogrammetry is generally feasible for urban areas.
- Achieved 3D positioning accuracies are within the meter-domain.
- Matching heterogeneous multi-sensor data remains a significant challenge.
Conclusions:
- VHR SAR-optical stereogrammetry shows promise for urban 3D mapping.
- The proposed method offers a viable approach despite data heterogeneity.
- Further research is needed to overcome multi-sensor data matching difficulties.
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