Volume XLII-1/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1/W1, 411-417, 2017
https://doi.org/10.5194/isprs-archives-XLII-1-W1-411-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1/W1, 411-417, 2017
https://doi.org/10.5194/isprs-archives-XLII-1-W1-411-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  31 May 2017

31 May 2017

A TIE POINT MATCHING STRATEGY FOR VERY HIGH RESOLUTION SAR-OPTICAL STEREOGRAMMETY OVER URBAN AREAS

C. P. Qiu1, M. Schmitt1, and X. X. Zhu1,2 C. P. Qiu et al.
  • 1Signal Processing in Earth Observation, Technical University of Munich (TUM), Arcisstr. 21, 80333 Munich, Germany
  • 2Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany

Keywords: Synthetic aperture radar (SAR), optical imagery, remote sensing, data fusion, stereogrammetry, photogrammetry, radargrammetry, 3D reconstruction, multi-sensor image matching

Abstract. This paper presents a matching strategy for sparsely distributed tie points, which can be used to carry out SAR-optical stereogrammetry. Since matching homologue points in heterogeneous multi-sensor image of complex terrain remains a challenging task, the proposed procedure combines the tie point matching step with the estimation of the corresponding 3D object coordinates. The results of this study are two-fold: On the one hand, they show that fully automatic SAR-optical stereogrammetry using very high resolution data of urban scenes is generally feasible and can provide 3D accuracies in the meter-domain. On the other hand, they highlight the difficulty of multi-sensor image matching, as well as the importance of robust matching strategies.