[1] E Vahtmäe, B Paavel, T Kutser. How much benthic information can be retrieved with hyperspectral sensor from the optically complex coastal waters?. J Appl Remote Sens, 14, 016504(2020).

[2] V V Klemas. Coastal and environmental remote sensing from unmanned aerial vehicles:An overview. Journal of Coastal Research, 31, 1260-1267(2015).

[3] Xiulin Lou, Chuanmin Hu. Diurnal changes of a harmful algal bloom in the East China Sea: Observations from GOCI. Remote Sensing of Environment, 140, 562-572(2014).

[4] R Pettersen, G Johnsen, P Bruheim, et al. Development of hyperspectral imaging as a bio-optical taxonomic tool for pigmented marine organisms. Organisms Diversity & Evolution, 14, 237-246(2014).

[5] B Bansod, R Singh, R Thakur. Analysis of water quality parameters by hyperspectral imaging in Ganges River. Spatial Information Research, 26, 203-211(2018).

[6] Beibei Jia, Seung-Chul Yoon, Hong Zhuang, et al. Prediction of pH of fresh chicken breast fillets by VNIR hyperspectral imaging. Journal of Food Engineering, 208, 57-65(2017).

[7] F Cai, W Lu, W Shi, et al. A mobile device-based imaging spectrometer for environmental monitoring by attaching a lightweight small module to a commercial digital camera. Scientific Reports, 7, 15602(2017).

[8] B Gardner, R Reddy, D Mayerich, et al. Application of vibrational spectroscopy and imaging to point-of-care medicine: A review. Appl Spectrosc, 72, 52-84(2018).

[9] F Cai, W Dan, Z Min, et al. Pencil-like imaging spectrometer for bio-samples sensing. Biomedical Optics Express, 8, 5427(2017).

[10] Xinli Yao, Shuo Li, Sailing He. Dual-mode hyperspectral bio-imager with a conjugated camera for quick object-selection and focusing. Progress in Electromagnetics Research, 168, 133-143(2020).

[11] Lin Wei, Kang Su, Siqi Zhu, et al. Identification of microalgae by hyperspectral microscopic imaging system. Spectroscopy Letters, 50, 59-63(2017).

[12] Chih-Chung Chang, Chih-Jen Lin. Libsvm: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2, 1-27(2011).

[13] Z Kong, Z Liu, L Zhang, et al. Atmospheric pollution monitoring in urban area by employing a 450-nm Lidar system. Sensors (Basel), 18, 1880(2018).

[14] Z Kong, T Ma, Y Cheng, et al. Feasibility investigation of a monostatic imaging lidar with a parallel-placed image sensor for atmospheric remote sensing. Journal of Quantitative Spectroscopy and Radiative Transfer, 254, 107212(2020).

[15] L Mei, M Brydegaard. Atmospheric aerosol monitoring by an elastic Scheimpflug lidar system. Opt Express, 23, A1613-A1628(2015).

[16] L Mei, P Guan, Y Yang, et al. Atmospheric extinction coefficient retrieval and validation for the single-band Mie-scattering Scheimpflug lidar technique. Opt Express, 25, A628-A638(2017).

[17] Fei Gao, Jingwei Li, Hongze Lin, et al. Oil pollution discrimination by an inelastic hyperspectral Scheimpflug lidar system. Opt Express, 25, 25515-25522(2017).

[18] E Malmqvist, M Brydegaard, M Alden, et al. Scheimpflug lidar for combustion diagnostics. Opt Express, 26, 14842-14858(2018).

[19] Z Duan, Y Yuan, J C Lu, et al. Underwater spatially, spectrally, and temporally resolved optical monitoring of aquatic fauna. Opt Express, 28, 2600-2610(2020).

[20] [20] Zhao G, Malmqvist E, Rydhmer K, et al. Inelastic hyperspectral lidar f aquatic ecosystems moniting lscape plant scanning test[C]The 28th International Laser Radar Conference (ILRC 28), EPJ Web of Conferences, 2018, 176: 01003.

[21] G Zhao, M Ljungholm, E Malmqvist, et al. Inelastic hyperspectral lidar for profiling aquatic ecosystems. Laser & Photonics Reviews, 10, 807-813(2016).

[22] Kun Chen, Fei Gao, Xiang Chen, et al. Overwater light-sheet Scheimpflug lidar system for an underwater three-dimensional profile bathymetry. Appl Opt, 58, 7643-7648(2019).

[23] Fei Gao, Hongze Lin, Kun Chen, et al. Light-sheet based two-dimensional Scheimpflug lidar system for profile measurements. Opt Express, 26, 27179-27188(2018).

[24] Sailing He, Xiang Chen, Shuo Li, et al. Small hyperspectral imagers and lidars and their marine applications. Infrared and Laser Engineering, 49, 0203001(2020).

[25] Hongze Lin, Yao Zhang, Liang Mei. Fluorescence Scheimpflug LiDAR developed for the three-dimension profiling of plants. Opt Express, 28, 9269-9279(2020).

[26] Longqiang Luo, Xiang Chen, Zhanpeng Xu, et al. A parameter-free calibration process for a Scheimpflug LIDAR for volumetric profiling. Progress in Electromagnetics Research, 169, 117-127(2020).

[27] Zhanpeng Xu, Yiming Jiang, Sailing He. Multi-mode microscopic hyperspectral imager for the sensing of biological samples. Applied Sciences, 10, 4876(2020).

[28] Fuhong Cai, Jie Chen, Xiaofeng Xie, et al. The design and implementation of portable rotational scanning imaging spectrometer. Opt Commun, 459, 125016(2020).

[29] Longqiang Luo, Shuo Li, Xinli Yao, et al. Rotational hyperspectral scanner and related image reconstruction algorithm. Sci Rep, 11, 3296(2021).

[30] Zhanpeng Xu, Yiming Jiang, Jiali Ji, et al. Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning. Opt Express, 28, 30686-30700(2020).

[31] U Kürüm, P R Wiecha, R French, et al. Deep learning enabled real time speckle recognition and hyperspectral imaging using a multimode fiber array. Opt Express, 27, 20965-20979(2019).

[32] Jing Luo, Shuo Li, Erik Forsberg, et al. 4D surface shape measurement system with high spectral resolution and great depth accuracy. Opt Express, 29, 13048-13070(2021).