CFAR-Based Point Cloud Extraction Method for Circular Scanning Ground-Based SAR 3D Image

2022 IEEE 5th International Conference on Computer and Communication Engineering Technology (CCET) Pub Date : 2022-08-19 DOI:10.1109/CCET55412.2022.9906372

Yanping Wang, Jie Zhi, Wenjie Shen, Yun Lin, Y. Li

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引用次数: 1

Abstract

Ground-based SAR (GBSAR) has the advantage of all-day and all-weather high-resolution imaging and has been widely used in urban infrastructure monitoring, such as bridge and building monitoring. However, the traditional linear track GBSAR can only obtain two-dimensional (2D) images, and cannot obtain three-dimensional (3D) information of the target. Therefore, the development of GBSAR system with 3D imaging capability has become a new research hotspot. The circular scanning GBSAR studied in this paper is a new GBSAR mode with 3D imaging capability, and the data are obtained by rotating around the center of the circle on the vertical plane. However, due to the observation geometry of the circular scanning curve, there are a large number of sidelobes in the 3D image which leads to the problem of unable to accurately extract the point cloud. This paper first introduces NCUT self-developed circular scanning GBSAR, and then proposes a 3D point cloud extraction method based on constant false alarm rate (CFAR) algorithm. The feasibility of this method is verified by real data experiments.

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基于cfar的圆形扫描地基SAR三维图像点云提取方法

地面合成孔径雷达(Ground-based SAR, GBSAR)具有全天、全天候高分辨率成像的优势，在桥梁、建筑物等城市基础设施监测中得到了广泛应用。然而，传统的线性航迹GBSAR只能获得二维(2D)图像，无法获得目标的三维(3D)信息。因此，开发具有三维成像能力的GBSAR系统成为新的研究热点。本文研究的圆形扫描GBSAR是一种具有三维成像能力的新型GBSAR模式，其数据是通过在垂直平面上绕圆心旋转获得的。然而，由于圆形扫描曲线的观测几何特性，三维图像中存在大量的副瓣，导致无法准确提取点云。本文首先介绍了NCUT自主研发的圆形扫描GBSAR，然后提出了一种基于恒虚警率(CFAR)算法的三维点云提取方法。通过实际数据实验验证了该方法的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE 5th International Conference on Computer and Communication Engineering Technology (CCET)

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