Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 719-722, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-719-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
21 Jun 2016
ON THE CHALLENGES IN STEREOGRAMMETRIC FUSION OF SAR AND OPTICAL IMAGERY FOR URBAN AREAS
M. Schmitt1 and X. X. Zhu1,2 1Technical University of Munich (TUM), Signal Processing in Earth Observation, 80333 Munich, Germany
2German Aerospace Center (DLR), Remote Sensing Technology Institute, 82234 Wessling, Germany
Keywords: Data fusion, stereogrammetry, synthetic aperture radar (SAR), optical imagery, multi-sensor matching, urban areas Abstract. This paper discusses the challenges arising if SAR and optical imagery shall be fused for stereogrammetric 3D analysis of urban areas. In this context, a concept for SAR and optical data fusion is presented, which is meant to enable the reconstruction of urban topography independent of the type of the available data. This fusion is modelled in a voxelized object space, from which 3D hypotheses are projected into the available datasets. Among those hypotheses then the one showing the greatest SAR-optical similarity is chosen to be the reconstructed 3D point. Within first experiments, it is shown that the determination of similarity between high-resolution SAR and optical images is the major challenge within the framework of the proposed concept. After this challenge has been solved, the proposed method is expected to allow 3D reconstruction of urban areas from SAR-optical stereogrammetry for the first time. It is expected to be beneficial, e.g., for rapid mapping tasks in disaster situations where optical images may be available from geodata archives, but instantaneous data can only be provided by daylight- and weather-independent SAR sensors.
Conference paper (PDF, 1943 KB)


Citation: Schmitt, M. and Zhu, X. X.: ON THE CHALLENGES IN STEREOGRAMMETRIC FUSION OF SAR AND OPTICAL IMAGERY FOR URBAN AREAS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 719-722, https://doi.org/10.5194/isprs-archives-XLI-B7-719-2016, 2016.

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