Long-range imaging LiDAR with multiple denoising technologies

Zheng, H. et al. (2024) Long-range imaging LiDAR with multiple denoising technologies. Applied Sciences, 14(8), 3414. (doi: 10.3390/app14083414)

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Abstract

The ability to capture and record high-resolution images over long distances is essential for a wide range of applications, including connected and autonomous vehicles, defense and security operations, as well as agriculture and mining industries. Here, we demonstrate a self-assembled bistatic long-range imaging LiDAR system. Importantly, to achieve high signal-to-noise ratio (SNR) data, we employed a comprehensive suite of denoising methods including temporal, spatial, spectral, and polarization filtering. With the aid of these denoising technologies, our system has been validated to possess the capability of imaging under various complex usage conditions. In terms of distance performance, the test results achieved ranges of over 4000 m during daylight with clear weather, 19,200 m at night, 6700 m during daylight with haze, and 2000 m during daylight with rain. Additionally, it offers an angular resolution of 0.01 mrad. These findings demonstrate the potential to offer comprehensive construction strategies and operational methodologies to individuals seeking long-range LiDAR data.

Item Type:Articles
Additional Information:This research was funded by the National Natural Science Foundation of China (62375215), Shaanxi Key Research and Development Project (Grant No. 2019ZDLGY09-10), and Shaanxi Key Research and Development Project (2019ZDLGY09-09).
Keywords:Pulsed LiDAR, long range, complex condition, bistatic.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Wang, Mr Gao
Creator Roles:
Wang, G.Conceptualization
Authors: Zheng, H., Han, Y., Qiu, L., Zong, Y., Li, J., Zhou, Y., He, Y., Liu, J., Wang, G., Chen, H., and Xu, Z.
College/School:College of Science and Engineering > School of Physics and Astronomy
Journal Name:Applied Sciences
Publisher:MDPI
ISSN:2076-3417
ISSN (Online):2076-3417
Published Online:18 April 2024
Copyright Holders:Copyright © 2024 The Authors
First Published:First published in Applied Sciences 14(8): 3414
Publisher Policy:Reproduced under a Creative Commons License

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