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VHRS STEREO IMAGES FOR 3D MODELLING OF BUILDINGS

机译:VHRS立体声图像用于建筑物的3D建模

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The paper presents the project which was carried out in the Photogrammetric Laboratory of Warsaw University of Technology. The experiment is concerned with the extraction of 3D vector data for buildings creation from 3D photogrammetric model based on the Ikonos stereo images. The model was reconstructed with photogrammetric workstation - Summit Evolution combined with ArcGIS 3D platform. Accuracy of 3D model was significantly improved by use for orientation of pair of satellite images the stereo measured tie points distributed uniformly around the model area in addition to 5 control points. The RMS for model reconstructed on base of the RPC coefficients only were 16,6 m, 2,7 m and 47,4 m, for X, Y and Z coordinates, respectively. By addition of 5 control points the RMS were improved to 0,7 m, 0,7 m 1,0 m, where the best results were achieved when RMS were estimated from deviations in 17 check points (with 5 control points) and amounted to 0,4 m, 0,5 m and 0,6 m, for X, Y, and Z respectively. The extracted 3D vector data for buildings were integrated with 2D data of the ground footprints and afterwards they were used for 3D modelling of buildings in Google SketchUp software. The final results were compared with the reference data obtained from other sources. It was found that the shape of buildings (in concern to the number of details) had been reconstructed on level of LoD1, when the accuracy of these models corresponded to the level of LoD2.
机译:本文提出了该项目,该项目是在华沙理工大学的摄影测量实验室进行的。基于Ikonos立体声图像,实验涉及从3D摄影测量模型创建建筑物的3D矢量数据。用摄影测量工作站重建该模型 - 与ArcGIS 3D平台相结合的Summit Evolution。通过用于卫星图像对的方向显着改善了3D模型的精度,除了5个控制点之外,立体声测量的立体测量的连接点均匀地分布。在RPC系数的基础上重建的模型的RMS分别仅为16,6m,2,7 m和47,4m,分别用于x,y和z坐标。通过添加5个控制点,将RMS改善为0.7m,0,7m 1,0 m,其中当从17个检查点(有5个控制点)的偏差估计RMS时,实现了最佳结果,并且相当于0,4 m,0.5 m和0,6 m,分别用于x,y和z。建筑物的提取的3D矢量数据与地面脚印的2D数据集成,然后它们用于Google Sketchup软件中的建筑物的3D建模。将最终结果与从其他来源获得的参考数据进行比较。发现,当这些模型的准确性对应于LOD2的水平时,建筑物的形状(关注细节数)已经重建在LOD1的水平上。

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