Abstract

The reconstruction of complex targets using terahertz technology is often hindered by diffraction and interference of electromagnetic waves, leading to the loss of fine target details. In this research article, we have introduced a terahertz synthetic aperture radar (SAR) imaging method that integrates an iterative closest point (ICP) algorithm, referred to as SAR-ICP, to achieve accurate reconstruction of intricate target structures. To accomplish this, multiple sets of point cloud data are acquired by varying the illumination viewpoint. The ICP algorithm is then employed to align and fuse these datasets, resulting in the generation of high-quality three-dimensional (3D) images. The experimental results validate the effectiveness of the proposed SAR-ICP method. The information entropy of the reconstructed 3D image using the SAR-ICP is approximately 0.05 times that of the conventional SAR method, indicating a superior image quality. In the future, we anticipate the widespread application of this method in areas such as security inspection, non-destructive testing, and other complex scenarios.

© 2023 Optica Publishing Group

Super-resolution terahertz synthetic aperture image reconstruction algorithm

Ningbo Wang and Feng Qi
Appl. Opt. 63(1) 186-192 (2024)

Registration of 3D point clouds using a local descriptor based on grid point normal

Jiang Wang, Bin Wu, and Jiehu Kang
Appl. Opt. 60(28) 8818-8828 (2021)

Classification of airborne 3D point clouds regarding separation of vegetation in complex environments

Dimitri Bulatov, Dominik Stütz, Jorg Hacker, and Martin Weinmann
Appl. Opt. 60(22) F6-F20 (2021)

3D reconstruction of structured light fields based on point cloud adaptive repair for highly reflective surfaces

Wei Feng, Tong Qu, Junhui Gao, Henghui Wang, Xiuhua Li, Zhongsheng Zhai, and Daxing Zhao
Appl. Opt. 60(24) 7086-7093 (2021)

Method for measuring the center of mass and moment of inertia of a model using 3D point clouds

Yubang Yang, Shuyu Sun, Tengchao Huang, Lujing Qian, and Kui Liu
Appl. Opt. 61(34) 10329-10336 (2022)