Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6949212 | ISPRS Journal of Photogrammetry and Remote Sensing | 2018 | 14 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu,