A COMPARISON OF SINGLE PHOTON AND FULL WAVEFORM LIDAR

35 citations as recorded by crossref.

1. Global Elevation Inversion for Multiband Spaceborne Lidar: Predevelopment of Forest Canopy Height H. Zhang et al. https://doi.org/10.1109/JSTARS.2024.3522330
2. On the Feasibility of Water Surface Mapping with Single Photon LiDAR G. Mandlburger & B. Jutzi https://doi.org/10.3390/ijgi8040188
3. Review of Scanning and Pixel Array-Based LiDAR Point-Cloud Measurement Techniques to Capture 3D Shape or Motion C. Altuntas https://doi.org/10.3390/app13116488
4. Assessment of Multiple Scattering in LiDAR Canopy Waveform X. Yang et al. https://doi.org/10.1109/JSTARS.2024.3443348
5. 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
6. Enhanced forest inventories in Canada: implementation, status, and research needs J. White et al. https://doi.org/10.1139/cjfr-2024-0255
7. Comparing features of single and multi-photon lidar in boreal forests X. Yu et al. https://doi.org/10.1016/j.isprsjprs.2020.08.013
8. Streak tube imaging lidar with kilohertz laser pulses and few-photons detection capability M. Fang et al. https://doi.org/10.1364/OE.520620
9. Evaluation of SPL100 Single Photon Lidar Data R. Brown et al. https://doi.org/10.3390/rs12040722
10. Tree species proportion prediction using airborne laser scanning and Sentinel-2 data within a deep learning based dual-stream data fusion approach B. Murray et al. https://doi.org/10.1080/01431161.2025.2521072
11. An Adaptive Inversion Framework for Shipborne Single-Photon LiDAR to Retrieve Ocean Optical Profiles With Multiple Scattering Correction X. Li et al. https://doi.org/10.1109/TGRS.2025.3639516
12. A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories J. Raty et al. https://doi.org/10.1109/TGRS.2021.3060670
13. Geospatial Information Research: State of the Art, Case Studies and Future Perspectives R. Bill et al. https://doi.org/10.1007/s41064-022-00217-9
14. 单光子激光测深雷达发展现状、关键技术及趋势展望 郑. ZHENG Guoxian et al. https://doi.org/10.3788/IRLA20260019
15. Individual tree species prediction using airborne laser scanning data and derived point-cloud metrics within a dual-stream deep learning approach B. Murray et al. https://doi.org/10.1016/j.jag.2025.104877
16. Light detection and ranging of natural systems L. Irwin et al. https://doi.org/10.1038/s43586-025-00446-3
17. Laser bathymetry on rough riverbed channels: State‐of‐the‐art and future prospects T. Himmelsbach et al. https://doi.org/10.1002/esp.70319
18. Multiscale Feature Fusion for the Multistage Denoising of Airborne Single Photon LiDAR S. Si et al. https://doi.org/10.3390/rs15010269
19. Estimating tree species composition from airborne laser scanning data using point-based deep learning models B. Murray et al. https://doi.org/10.1016/j.isprsjprs.2023.12.008
20. Single photon imaging based on beam manipulation Z. Guo et al. https://doi.org/10.1016/j.optlastec.2025.113080
21. Development of the Ontario Forest Resources Inventory: a historical review A. Bilyk et al. https://doi.org/10.1139/cjfr-2020-0234
22. Single photon lidar signal attenuation under boreal forest conditions L. Irwin et al. https://doi.org/10.1080/2150704X.2021.1962575
23. Binary-Coding-Based Denoising Algorithm Preparing for Spaceborne Photon-Counting Lidar With Tens to Hundreds of Beams Y. Ma et al. https://doi.org/10.1109/TGRS.2026.3686283
24. Retrieving Aboveground Biomass in the United States’ Largest Dry Woodland Ecosystem Using Simulated ICESat-2 Data Y. Gu et al. https://doi.org/10.1109/LGRS.2025.3612878
25. Day and night continuous high-resolution shallow-water depth detection with single-photon underwater lidar M. Shangguan et al. https://doi.org/10.1364/OE.505865
26. Estimation of breast height diameter and trunk curvature with linear and single-photon LiDARs J. Ahola et al. https://doi.org/10.1007/s13595-021-01100-0
27. Simulation and Design of Circular Scanning Airborne Geiger Mode Lidar for High-Resolution Topographic Mapping F. Liu et al. https://doi.org/10.3390/s22103656
28. Multispectral Light Detection and Ranging Technology and Applications: A Review N. Takhtkeshha et al. https://doi.org/10.3390/s24051669
29. Evaluation of Single Photon and Waveform LiDAR G. Mandlburger https://doi.org/10.2478/apcrs-2019-0001
30. Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends N. Coops et al. https://doi.org/10.1016/j.rse.2021.112477
31. A comparison of single-photon lidar, conventional lidar, and digital aerial photogrammetry for area-based forest inventory T. Gobakken et al. https://doi.org/10.1093/forestry/cpag053
32. Concept and Performance Evaluation of a Novel UAV-Borne Topo-Bathymetric LiDAR Sensor G. Mandlburger et al. https://doi.org/10.3390/rs12060986
33. Retrieving Telemetry Range From ICESat-2 Data by a No-Prior-Terrain Onboard Filtering Algorithm Y. Sun et al. https://doi.org/10.1109/JSTARS.2025.3529744
34. Photon counting lidar working in daylight Y. Jiang et al. https://doi.org/10.1016/j.optlastec.2023.109374
35. Multi-level k-nearest neighbors algorithm for direct point cloud-based engineering analysis A. Corpuz et al. https://doi.org/10.1016/j.cma.2026.118933