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Urban DEM generation, analysis and enhancements using TanDEM-X

机译:使用TanDEM-X进行城市DEM生成,分析和增强

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This paper analyzes the potential of the TanDEM-X mission for the generation of urban Digital Elevation Models (DEMs). The high resolution of the sensors and the absence of temporal decorrelation are exploited. The interferometric chain and the problems encountered for correct mapping of urban areas are analyzed first. The operational Integrated TanDEM-X Processor (ITP) algorithms are taken as reference. The ITP main product is called the raw DEM. Whereas the ITP coregistration stage is demonstrated to be robust enough, large improvements in the raw DEM such as fewer percentages of phase unwrapping errors, can be obtained by using adaptive fringe filters instead of the conventional ones in the interfero-gram generation stage. The shape of the raw DEM in the layover area is also shown and determined to be regular for buildings with vertical walls. Generally, in the presence of layover, the raw DEM exhibits a height ramp, resulting in a height underestimation for the affected structure. Examples provided confirm the theoretical background. The focus is centered on high resolution DEMs produced using spotlight acquisitions. In particular, a raw DEM over Berlin (Germany) with a 2.5 m raster is generated and validated. For this purpose, ITP is modified in its interferogram generation stage by adopting the Intensity Driven Adaptive Neighbourhood (IDAN) algorithm. The height Root Mean Square Error (RMSE) between the raw DEM and a reference is about 8 m for the two classes defining the urban DEM: structures and non-structures. The result can be further improved for the structure class using a DEM generated with Persistent Scatterer Interferometry. A DEM fusion is thus proposed and a drop of about 20% in the RMSE is reported.
机译:本文分析了TanDEM-X任务对于生成城市数字高程模型(DEM)的潜力。利用了传感器的高分辨率和不存在时间去相关。首先分析了干涉测量链和正确绘制城市区域所遇到的问题。可操作的集成TanDEM-X处理器(ITP)算法作为参考。 ITP的主要产品称为原始DEM。尽管ITP核心阶段已被证明足够鲁棒,但可以通过在干涉图生成阶段中使用自适应条纹滤波器代替传统的条纹滤波器来获得原始DEM的大幅改进,例如更少的相位解开误差百分比。还显示了中转区域中原始DEM的形状,并确定其对于具有垂直墙的建筑物是规则的。通常,在存在中转的情况下,原始DEM会出现高度倾斜,从而导致受影响结构的高度低估。所提供的例子证实了理论背景。重点集中在使用聚光灯采集产生的高分辨率DEM。特别是,生成并验证了柏林(德国)上2.5 m栅格的原始DEM。为此,ITP在其干涉图生成阶段通过采用强度驱动的自适应邻域(IDAN)算法进行了修改。对于定义城市DEM的两个类别,原始DEM与参考之间的高度均方根误差(RMSE)约为8 m。使用持久散射干涉仪生成的DEM可以进一步改善结构类别的结果。因此提出了DEM融合,据报道RMSE下降了约20%。

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