Show source-provided references
4. Li, K.P., He, Y., Ma, J., Jiang, Z.Y., Hou, C.H., Chen, W.B., Zhu, X.L., Chen, P., Tang, J.W., and Wu, S.H. (2020). A Dual-Wavelength Ocean Lidar for Vertical Profiling of Oceanic Backscatter and Attenuation. Remote Sens., 12.
10.3390/rs12172844 ↗5. A High-Pulse-Repetition-Frequency CO2 Doppler Lidar for Atmospheric Monitoring
10.1063/1.1144110 ↗6. The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation
10.1016/j.rse.2016.12.029 ↗8. An overview of LIDAR: Collection to application
11. Kong, Z., Yin, Z., Cheng, Y., Li, Y., Zhang, Z., and Mei, L. (2020). Modeling and evaluation of the systematic errors for the polarization-sensitive imaging lidar technique. Remote Sens., 12.
10.3390/rs12203309 ↗12. Long-range three-dimensional imaging using range-gated laser radar images
10.1117/1.2183668 ↗14. Range-intensity-profile prior dehazing method for underwater range-gated imaging
10.1364/OE.417131 ↗15. Underwater wireless optical communication channel modeling and performance evaluation using vector radiative transfer theory
10.1109/JSAC.2008.081202 ↗19. Feygels, V.I., Wright, C.W., Kopilevich, Y.I., and Surkov, A.I. (2003). Narrow-Field-of-View Bathymetrical Lidar: Theory and Field Test. Ocean Remote Sensing and Imaging II, SPIE.
10.1117/12.506951 ↗20. An Approach to Calculating Interchannel Distortion of Linearly Filtered Angle-Modulated Signals Using a Hybrid Computer
10.1109/PROC.1969.7061 ↗22. A theoretical study on the impact of particle scattering on the channel characteristics of underwater optical communication system
10.1016/j.optcom.2017.06.030 ↗25. Xu, M. (2008, January 21–23). Coherent backscattering of polarized light for tissue diagnostics: An Electric field Monte Carlo study. Proceedings of the Conference on Optical Interactions with Tissue and Cells XIX, San Jose, CA, USA.
10.1117/12.762399 ↗26. Transmission matrix-based Electric field Monte Carlo study and experimental validation of the propagation characteristics of Bessel beams in turbid media
10.1364/OL.43.004835 ↗27. Crop canopy BRDF simulation and analysis using Monte Carlo method
28. Wang, J., Xu, W., Zhou, G., and Niu, C. (2015). Wetland Aquatic Vegetation Canopy BRDF Monte Carlo Model Establishing Method, Involves Determining Track Photon Value, and Performing Aquatic Vegetation total Weight Calculating Process Corresponding to Track Photon Value. Chinese. (No. 201510045270.9), Invention Patent.
29. Uncertainty analysis of BRDF Modeling Using 6S Simulations and Monte-Carlo Method
31. Hulst, H.C., and van de Hulst, H.C. (1981). Light Scattering by Small Particles, Courier Corporation.
32. Bohren, C.F., and Huffman, D.R. (2008). Absorption and Scattering of Light by Small Particles, John Wiley & Sons.
35. A geometrical optics polarimetric bidirectional reflectance distribution function for dielectric and metallic surfaces
10.1364/OE.17.022138 ↗36. Image-restoration algorithm based on an underwater polarization imaging visualization model
10.1364/JOSAA.454557 ↗41. Characterization of particle size distribution in the South China Sea basin during summer 2016
42. Chen, P., Pan, D., Mao, Z., and Liu, H. (2018). Semi-Analytic Monte Carlo Model for Oceanographic Lidar Systems: Lookup Table Method Used for Randomly Choosing Scattering Angles. Appl. Sci., 9.
10.3390/app9010048 ↗