A framework for SAR-optical stereogrammetry over urban areas
A framework for SAR-optical stereogrammetry over urban areas
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DOI：
10.1016/j.isprsjprs.2018.10.003
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发表时间：
2018-10
影响因子：
12.7
通讯作者：
H. Bagheri;Michael Schmitt;Pablo d’Angelo;X. Zhu
中科院分区：
文献类型：
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作者：
H. Bagheri;Michael Schmitt;Pablo d’Angelo;X. Zhu
目前，众多的遥感卫星提供了海量多样的对地观测数据。由于这些数据在分辨率、精度、覆盖范围和光谱成像能力方面表现出不同的特征，因此需要融合技术来整合每个传感器的不同属性并产生有用的信息。例如，合成孔径雷达（SAR）数据可以与光学图像融合，使用立体测量方法产生三维信息。本研究的主要重点是探讨将立体测量管道应用于高分辨率（VHR） sar光学图像对的可能性。为此，研究了半全局匹配在这种非常规多传感器环境下的适用性。为了支持图像匹配，减少搜索空间，加快识别正确、可靠的匹配，研究了为VHR sar -光学图像对建立极极性约束的可能性。此外，研究表明，基于有理多项式系数的多传感器块平差公式可以提高VHR光学图像相对于TerraSAR-X等VHR SAR图像的绝对地理定位精度。最后，验证了生成中位数精度约为2 m的点云的可行性，并证实了从城市地区的sar光学图像对进行三维重建的潜力。
Currently, numerous remote sensing satellites provide a huge volume of diverse earth observation data. As these data show different features regarding resolution, accuracy, coverage, and spectral imaging ability, fusion techniques are required to integrate the different properties of each sensor and produce useful information. For example, synthetic aperture radar (SAR) data can be fused with optical imagery to produce 3D information using stereogrammetric methods. The main focus of this study is to investigate the possibility of applying a stereogrammetry pipeline to very-high-resolution (VHR) SAR-optical image pairs. For this purpose, the applicability of semi-global matching is investigated in this unconventional multi-sensor setting. To support the image matching by reducing the search space and accelerating the identification of correct, reliable matches, the possibility of establishing an epipolarity constraint for VHR SAR-optical image pairs is investigated as well. In addition, it is shown that the absolute geolocation accuracy of VHR optical imagery with respect to VHR SAR imagery such as provided by TerraSAR-X can be improved by a multi-sensor block adjustment formulation based on rational polynomial coefficients. Finally, the feasibility of generating point clouds with a median accuracy of about 2 m is demonstrated and confirms the potential of 3D reconstruction from SAR-optical image pairs over urban areas.