A signal denoising method for full-waveform LiDAR data

10 citations as recorded by crossref.

1. A Novel De-Noising Method for Improving the Performance of Full-Waveform LiDAR Using Differential Optical Path Y. Cheng et al. https://doi.org/10.3390/rs9111109
2. Piecewise Adaptive-Norm Trend Filtering Method for ICESat/GLAS Waveform Data Denoising L. Li et al. https://doi.org/10.1109/ACCESS.2020.3022886
3. A Sparsity-Based Regularization Approach for Deconvolution of Full-Waveform Airborne Lidar Data M. Azadbakht et al. https://doi.org/10.3390/rs8080648
4. 3D ToF LiDAR for Mobile Robotics in Harsh Environments: A Review T. Yang et al. https://doi.org/10.1142/S230138502530001X
5. Multichannel Weak Signal Extraction Based on Multispectral LiDAR X. Hou et al. https://doi.org/10.1109/TGRS.2024.3371575
6. Learn to Model and Filter Point Cloud Noise for a Near-Infrared ToF LiDAR in Adverse Weather T. Yang et al. https://doi.org/10.1109/JSEN.2023.3298909
7. An Adaptive Denoising Framework for TECIS Full Waveform LiDAR Based on Bayesian Optimization and Structure-Aware Filtering D. Wang et al. https://doi.org/10.1109/LGRS.2026.3679521
8. Observation Selection, Total Variation, and L-Curve Methods for LiDAR Data Denoising J. Zhang et al. https://doi.org/10.1155/2022/3792225
9. Study of the surface texture evolution and friction degradation in asphalt pavements during wear process Z. Ma et al. https://doi.org/10.1016/j.wear.2024.205714
10. Improving ranging performance of SiPM LiDAR in low SNR conditions through an echo processing method and laser pulse modulation C. Li et al. https://doi.org/10.1364/AO.520324