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基于包裹干涉相位的高层建筑三维重建。

High-Rise Building 3D Reconstruction with the Wrapped Interferometric Phase.

机构信息

School of Automation, Northwestern Polytechnical Universtiy, Xi'an 710129, China.

Nanjing Research Institute of Electronic Technology, Nanjing 210039, China.

出版信息

Sensors (Basel). 2019 Mar 23;19(6):1439. doi: 10.3390/s19061439.

Abstract

The great development of high-resolution SAR system gives more opportunities to observe building structures in detail, especially the advanced interferometric SAR (InSAR), which techniques attract more attention on exploiting useful information on urban infrastructures. Considering that the high-rise buildings in urban areas are quite common in big cities, it is of great importance to retrieve the three-dimension (3D) information of the urban high-rise buildings in urban remote sensing applications. In this paper, the 3D reconstruction of high-rise buildings using the wrapped InSAR phase image was studied, referring to the geometric modulation in very high resolution (VHR) SAR images, such as serious layover cause by high-rise buildings. Under the assumption of a rectangular shape, the high-rise buildings were detected and building façades were extracted based on the local frequency analysis of the layover fringe patterns. Then 3D information of buildings were finally extracted according to the detected façade geometry. Except for testing on a small urban area from the TanDEM-X data, the experiment carried on the single-pass InSAR wrapped phase in the wide urban scene, which was collected by the Chinese airborne N-SAR system, also demonstrated the possibility and applicability of the approach.

摘要

高分辨率 SAR 系统的巨大发展为详细观测建筑物结构提供了更多机会,尤其是先进的干涉合成孔径雷达(InSAR)技术,该技术在利用城市基础设施的有用信息方面引起了更多关注。考虑到城市地区的高层建筑在大城市中很常见,因此在城市遥感应用中获取城市高层建筑的三维(3D)信息非常重要。在本文中,参考甚高分辨率(VHR)SAR 图像中的几何调制,例如由高层建筑引起的严重叠掩,研究了使用包裹 InSAR 相位图像的高层建筑 3D 重建。在矩形形状的假设下,基于叠掩条纹的局部频率分析来检测高层建筑并提取建筑物外墙。然后根据检测到的外墙几何形状提取建筑物的 3D 信息。除了在 TanDEM-X 数据的一个小城区进行测试外,还在由中国机载 N-SAR 系统采集的宽城区单视 InSAR 包裹相位上进行了实验,也证明了该方法的可能性和适用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c38d/6470799/9456afe018cd/sensors-19-01439-g001.jpg

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