论文标题
极限的SAR断层扫描：仅使用3-5个串联tandem-X Bistatic干预图建筑物重建
SAR Tomography at the Limit: Building Height Reconstruction Using Only 3-5 TanDEM-X Bistatic Interferograms
论文作者
论文摘要
多基线干涉合成孔径雷达（INSAR）技术是检索城市地区3-D信息的有效方法。为了获得合理的重建，必须使用二十多个干涉图。因此，这些方法通常不适用于使用Tandem-X数据的大规模3-D城市映射，在每个城市平均只有几次收购。这项工作提出了一个新的SAR断层扫描处理框架，以与那些极小的堆栈合作，该堆栈将非本地过滤整合到SAR层析成像倒置中。使用Tandem-X多基线堆栈证明了该算法的适用性，并在整个德国慕尼黑城市上有5个Bistatic干涉图。我们的结果与串联原始数字高程模型（DEM）和机载激光雷达数据的系统比较表明，两座建筑物的相对高度准确性在两米以内，这表现优于串联tandem-x Raw dem。拟议的算法的有希望的表现铺平了迈向高质量大规模3-D城市地图的第一步。
Multi-baseline interferometric synthetic aperture radar (InSAR) techniques are effective approaches for retrieving the 3-D information of urban areas. In order to obtain a plausible reconstruction, it is necessary to use more than twenty interferograms. Hence, these methods are commonly not appropriate for large-scale 3-D urban mapping using TanDEM-X data where only a few acquisitions are available in average for each city. This work proposes a new SAR tomographic processing framework to work with those extremely small stacks, which integrates the non-local filtering into SAR tomography inversion. The applicability of the algorithm is demonstrated using a TanDEM-X multi-baseline stack with 5 bistatic interferograms over the whole city of Munich, Germany. Systematic comparison of our result with TanDEM-X raw digital elevation models (DEM) and airborne LiDAR data shows that the relative height accuracy of two third buildings is within two meters, which outperforms the TanDEM-X raw DEM. The promising performance of the proposed algorithm paved the first step towards high quality large-scale 3-D urban mapping.
