EXPLORING WEAK AND OVERLAPPED RETURNS OF A LIDAR WAVEFORM WITH A WAVELET-BASED ECHO DETECTOR

5 citations as recorded by crossref.

1. Full-waveform LiDAR echo decomposition based on dense and residual neural networks G. Liu & J. Ke https://doi.org/10.1364/AO.444910
2. End-to-End Full-Waveform Echo Decomposition Based on Self-Attention Classification and U-Net Decomposition G. Liu & J. Ke https://doi.org/10.1109/JSTARS.2022.3203130
3. A Fuzzy Mean-Shift Approach to Lidar Waveform Decomposition Q. Li et al. https://doi.org/10.1109/TGRS.2016.2596105
4. Evaluation of GEDI for Estimating the Vertical Distribution of PAI in Temperate Forests: A Case Study of the Conterminous United States D. Jia et al. https://doi.org/10.1109/LGRS.2025.3542874
5. The Benefit of the Geospatial-Related Waveforms Analysis to Extract Weak Laser Pulses T. Teo & W. Yeh https://doi.org/10.3390/rs10071141