Paper
29 December 2023 Edge-guided image estimation for array Gm-APD Lidar in smoky environment using multi-scale depth images
Author Affiliations +
Proceedings Volume 12975, 6th Optics Young Scientist Summit (OYSS 2023); 1297508 (2023) https://doi.org/10.1117/12.3014361
Event: 6th Optics Young Scientist Summit, 2023, Changsha, China
Abstract
Limited statistical frame number and strong backscatter interference from smoke result in a photon-starved regime, severely limiting the depth imaging capability of array Gm-APD lidar in smoky environment. Here, we propose a depth image estimation algorithm that can significantly improve the integrity of targets in dense smoke environments when signal photons are starved. At the signal level, the algorithm improves the accuracy of extracting signal photons by constructing multi-scale superpixels. At the image level, using edge information of depth images at different scales to guide and fill the original scale depth image achieves efficient noise reduction and improves target integrity. It has been successfully demonstrated under different attenuation lengths and statistical frame numbers. Compared with other state-of-the-art methods, the proposed algorithm has maximum target recovery and structural similarity, especially for the attenuation length (AL) is 3.6 and statistical frame number is 1500 (imaging time is 75ms). This study is of great significance for the fast depth imaging of dynamic targets by array Gm-APD lidar in dense smoke environments.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yinbo Zhang, Sining Li, Jianfeng Sun, Peng Jiang, Hailong Zhang, Zhihui Liu, and Yuebing Zhu "Edge-guided image estimation for array Gm-APD Lidar in smoky environment using multi-scale depth images", Proc. SPIE 12975, 6th Optics Young Scientist Summit (OYSS 2023), 1297508 (29 December 2023); https://doi.org/10.1117/12.3014361
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KEYWORDS
Reconstruction algorithms

Detection and tracking algorithms

Image restoration

LIDAR

Photons

Image analysis

Signal attenuation

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