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Segmentation of LIDAR and InSAR elevation data for building reconstruction

机译:LIDAR和InSAR高程数据的分割以进行建筑物重建

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摘要

The automatic reconstruction of buildings for the generation of city models is of great interest for different tasks. The 3D information can be directly obtained from both laser (LIDAR) and radar (InSAR) measurements. The data acquisition by LIDAR and SAR is described, with emphasis on the special properties of the interferometric SAR principle. For both sensors segmentation approaches for building reconstruction are proposed. In case of InSAR special effects are taken into account, which are caused by the side-looking illumination. The estimation of the signal noise is considered in the segmentation process. Besides the elevation, the intensity information is exploited to detect building areas. The results show that building reconstruction is possible from InSAR, but the achievable level of detail cannot be compared with LIDAR. Inherent geometric constraints which limit the reconstruction of buildings from SAR data of dense urban areas are discussed.
机译:对于不同的任务,建筑物的自动重建以生成城市模型非常重要。 3D信息可以直接从激光(LIDAR)和雷达(InSAR)测量中获得。描述了激光雷达和SAR的数据采集,重点介绍了干涉SAR原理的特殊特性。对于这两种传感器,提出了用于建筑物重建的分割方法。如果是InSAR,则应考虑到特殊影响,这是由侧面照明引起的。在分割过程中考虑信号噪声的估计。除海拔高度外,还利用强度信息来检测建筑物区域。结果表明,通过InSAR可以进行建筑物重建,但是无法将可达到的细节水平与LIDAR进行比较。讨论了固有的几何约束条件,这些约束条件限制了根据密集城市地区的SAR数据来重建建筑物。

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