A noise removal algorithm for photon counting LiDAR data: the ConvDS model

Shuaiguang Zhu; Guoqing Zhou; Ying Yao; Haowen Li; Xiaoting Han; Lin Li

doi:10.1117/12.3052610

30 December 2024 A noise removal algorithm for photon counting LiDAR data: the ConvDS model

Shuaiguang Zhu, Guoqing Zhou, Ying Yao, Haowen Li, Xiaoting Han, Lin Li

Author Affiliations +

Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 133940E (2024) https://doi.org/10.1117/12.3052610
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China

Abstract

The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), a satellite focused on changes in the heights of ice caps, clouds, and the land surface, provides valuable data resources for global Earth science research through its advanced laser altimetry technology. Since the ICESat-2 satellite transmits weak pulses that are susceptible to solar radiation and other factors, there is a large amount of noise in the data. In this paper, a new denoising model (ConvDS) is proposed. We use a combination of discrete convolution algorithms and cluster analysis algorithms to reduce the noise photon points under the ground to some extent. Comparing the ConvDS model with the other two methods, in steep terrain, the ConvDS model is 2.76% better than the improved DBSCAN algorithm and 1.48% better than the improved OPTICS algorithm. In hilly terrain, the denoising accuracy of the ConvDS model is 2.09% higher than the improved DBSCAN algorithm and 0.48% higher than the improved OPTICS algorithm. It can be concluded that the denoising effect of the ConvDS model is superior.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuaiguang Zhu, Guoqing Zhou, Ying Yao, Haowen Li, Xiaoting Han, and Lin Li "A noise removal algorithm for photon counting LiDAR data: the ConvDS model", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 133940E (30 December 2024); https://doi.org/10.1117/12.3052610

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