1. S. Cloud, What is a high-speed sub-sampling library for big point clouds? (2023), https://saturncloud.io/blog/what-is-a-highspeed-subsampling-library-for-big-point-clouds
2. F. Poux, How to automate LiDAR point cloud sub-sampling with Python (2020), https://towardsdatascience.com/how-to-automate-lidar-point-cloud-processing-with-python-a027454a536c
3. M. Mohamed, S. Morsy, E.S. Adel, Evaluation of data subsampling and neighbourhood selection for mobile LiDAR data classification. Egyp. J. Remote Sens. Space Sci. 24(3, Part 2), 799–804 (2021)
4. L. Itai, M. Asaf, A. Shai, SampleNet: differentiable point cloud sampling, computer vision, and pattern recognition (2020), https://cvpr2020.thecvf.com/
5. F. Lei, M.A. Peter, An iterative coarse-to-fine sub-sampling method for density reduction of terrain point clouds. Remote Sens. 11, 947 (2019). https://doi.org/10.3390/rs11080947