[1] Ma Y, Lin H, Ji H et al. A scattering coefficient model for airborne lidar detection of red tide[J]. Acta Photonica Sinica, 36, 344-349(2007).

[2] Mu B, Cui T W, Cao W X et al. A semi-analytical monitoring method during the process of red tide based on optical buoy[J]. Acta Optica Sinica, 32, 0201001(2012).

[3] Ma Y, Lin H, Ai Q et al. Red tide monitoring based on bio-optical algorithm[J]. Acta Optica Sinica, 28, 7-11(2008).

[4] Wang X B, Zhao H K, Zhou Y D et al. Characteristics of jellyfish in the Yellow Sea detected by polarized oceanic lidar[J]. Infrared and Laser Engineering, 50, 20211038(2021).

[5] Tang J W, Zhu P Z, Liu B Y et al. Polarization scattering of particles in lidar detection of ocean profile[J]. Acta Optica Sinica, 42, 1200001(2022).

[6] Wu H. Research on detection and echo processing of dual-system lidar[D](2021).

[7] Chen S, Yin G F, Zhao N J et al. Measurement of primary productivity of phytoplankton based on photosynthetic electron transport rate[J]. Acta Optica Sinica, 38, 1126001(2018).

[8] Chen S, Yin G F, Zhao N J et al. Analysis of phytoplankton concentration of functional reaction centers based on fluorescence dynamics parameters[J]. Acta Optica Sinica, 38, 0630004(2018).

[9] Collis R T H, Russell P B. Lidar measurement of particles and gases by elastic backscattering and differential absorption[M]. Hinkley E D. Laser monitoring of the atmosphere, 14, 71-151(1976).

[10] Klett J D. Stable analytical inversion solution for processing lidar returns[J]. Applied Optics, 20, 211-220(1981).

[11] Fernald F G. Analysis of atmospheric lidar observations: some comments[J]. Applied Optics, 23, 652-653(1984).

[12] Churnside J H, Marchbanks R D. Inversion of oceanographic profiling lidars by a perturbation to a linear regression[J]. Applied Optics, 56, 5228-5233(2017).

[13] Zhou Y D. Research on marine lidar for detecting optical characteristics of water body[D](2020).

[14] McCulloch W S, Pitts W. A logical calculus of the ideas immanent in nervous activity[J]. The Bulletin of Mathematical Biophysics, 5, 115-133(1943).

[15] Srivastava N, Hinton G, Krizhevsky A et al. Dropout: a simple way to prevent neural networks from overfitting[J]. Journal of Machine Learning Research, 15, 1929-1958(2014).

[16] Kingma D P, Ba J. Adam: a method for stochastic optimization[EB/OL]. https://arxiv.org/abs/1412.6980

[17] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[EB/OL]. https://arxiv.org/abs/1706.03762

[18] Wu W H, Ma J J, Sun E C et al. Research on cloud parameter inversion method based on deep learning[J]. Journal of Atmospheric and Environmental Optics, 17, 453-464(2022).

[19] Liu L Y, Zhang Y J, Li Y S et al. PM2.5 inversion using remote sensing data in Eastern China based on deep learning[J]. Environmental Science, 41, 1513-1519(2020).

[20] Morel A, Maritorena S. Bio-optical properties of oceanic waters: a reappraisal[J]. Journal of Geophysical Research: Oceans, 106, 7163-7180(2001).

[21] James C, Johnathan H, Chris H et al. Ocean backscatter profiling using high-spectral-resolution lidar and a perturbation retrieval[J]. Remote Sensing, 10, 2003(2018).

[22] Chen P, Jamet C, Zhang Z H et al. Vertical distribution of subsurface phytoplankton layer in South China Sea using airborne lidar[J]. Remote Sensing of Environment, 263, 112567(2021).

[23] Petzold T J. Volume scattering functions for selected ocean waters[J]. Scripps Institution of Oceanography, 72-78(1972).

[24] Gordon H R, Morel A Y[M]. Remote assessment of ocean color for interpretation of satellite visible imagery: a review(1983).

[25] Rumelhart D E, Hinton G E, Williams R J. Learning representations by back-propagating errors[J]. Nature, 323, 533-536(1986).

[26] Qiu G Q, Wang H L, Xing X G. Application of BGC-Argo floats observation to ocean biogeochemistry[J]. Journal of Xiamen University (Natural Science), 57, 827-840(2018).

[27] Plass G N, Kattawar G W. Monte Carlo calculations of light scattering from clouds[J]. Applied Optics, 7, 415-419(1968).

[28] Poole L R, Venable D D, Campbell J W. Semianalytic Monte Carlo radiative transfer model for oceanographic lidar systems[J]. Applied Optics, 20, 3653-3656(1981).

[29] Li K, Liu B Y, Yang Q et al. Simulation of polarization profiles of water measured by oceanographic lidar[J]. Infrared and Laser Engineering, 50, 20211035(2021).

[30] Kong X J, Liu B Y, Yang Q et al. Simulation of water optical property measurement with shipborne lidar[J]. Infrared and Laser Engineering, 49, 0205010(2020).

[31] Liu H. Research on ocean optical parameter inversion based on lidar echo[D](2020).

[32] Zhu P Z, Liu B Y, Kong X J et al. Study on the design and preparation technology of ultra-low profile wideband high reflection thin films[J]. Infrared and Laser Engineering, 50, 20200164(2021).

[33] Lee Z P. Visible-infrared remote sensing model and applications for ocean waters[D](1994).

[34] Bricaud A, Morel A, Babin M et al. Variations of light absorption by suspended particles with chlorophyll a concentration in oceanic (case 1) waters: analysis and implications for bio-optical models[J]. Journal of Geophysical Research: Oceans, 103, 31033-31044(1998).

[35] Pope R M, Fry E S. Absorption spectrum (380-700 nm) of pure water. II. Integrating cavity measurements[J]. Applied Optics, 36, 8710-8723(1997).

[36] Morel A, Prieur L. Analysis of variations in ocean color[J]. Limnology and Oceanography, 22, 709-722(1977).

[37] Haltrin V I. Two-term Henyey-Greenstein light scattering phase function for seawater[C], 1423-1425(2002).

[38] Cui X Y, Tao Y T, Liu Q et al. Software to simulate spaceborne oceanic lidar returns using semianalytic Monte Carlo technique[J]. Infrared and Laser Engineering, 49, 85-91(2020).

[39] Cheng H. Study on the signal processing of lidar[D](2015).

[40] Guo K. Study on Monte Carlo method for simulating optical characteristics of water body[D](2015).

[41] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM, 24, 381-395(1981).