A signal denoising method for full-waveform LiDAR data

8 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. 10.3390/rs9111109
2. Piecewise Adaptive-Norm Trend Filtering Method for ICESat/GLAS Waveform Data Denoising L. Li et al. 10.1109/ACCESS.2020.3022886
3. A Sparsity-Based Regularization Approach for Deconvolution of Full-Waveform Airborne Lidar Data M. Azadbakht et al. 10.3390/rs8080648
4. Multichannel Weak Signal Extraction Based on Multispectral LiDAR X. Hou et al. 10.1109/TGRS.2024.3371575
5. Learn to Model and Filter Point Cloud Noise for a Near-Infrared ToF LiDAR in Adverse Weather T. Yang et al. 10.1109/JSEN.2023.3298909
6. Observation Selection, Total Variation, and L-Curve Methods for LiDAR Data Denoising J. Zhang et al. 10.1155/2022/3792225
7. Study of the surface texture evolution and friction degradation in asphalt pavements during wear process Z. Ma et al. 10.1016/j.wear.2024.205714
8. Improving ranging performance of SiPM LiDAR in low SNR conditions through an echo processing method and laser pulse modulation C. Li et al. 10.1364/AO.520324