Inelastic hyperspectral Scheimpflug lidar for microalgae classification and quantification

Chen Xiang; Jiang Yiming; Yao Quankai; Ji Jiali; Evans Julian; He Sailing

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Inelastic hyperspectral Scheimpflug lidar for microalgae classification and quantification

机译：内部高光谱Scheimpflug Lidar用于微藻分类和量化

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An inelastic hyperspectral Scheimpflug lidar system was developed for microalgae classification and quantification. The correction for the refraction at the air-glass-water interface was established, making our system suitable for aquatic environments. The fluorescence spectrum of microalgae was extracted by principal component analysis, and seven species of microalgae from different phyla have been classified. It was verified that when the cell density of Phaeocystis globosa was in the range of 10(4) similar to 10(6) cell mL(-1), the cell density had a linear relationship with the fluorescence intensity. The experimental results show our system can identify and quantify microalgae, with application prospects for microalgae monitoring in the field environment and early warning of red tides or algal blooms. (C) 2021 Optical Society of America

机译：开发了一种用于微藻分类和定量的非弹性高光谱Scheimpflug激光雷达系统。对空气-玻璃-水界面处的折射进行了校正，使我们的系统适用于水生环境。用主成分分析法提取了微藻的荧光光谱，并对7种不同门的微藻进行了分类。经验证，当球形棕囊藻的细胞密度在10（4）个与10（6）个细胞mL（-1）相似的范围内时，细胞密度与荧光强度呈线性关系。实验结果表明，该系统能够对微藻进行识别和定量，在野外环境微藻监测和赤潮、水华预警方面具有应用前景。（2021）美国光学学会

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《Applied optics》 |2021年第16期|共9页
作者
Chen Xiang; Jiang Yiming; Yao Quankai; Ji Jiali; Evans Julian; He Sailing;
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Zhejiang Univ Coll Opt Sci &

Engn Ctr Opt &

Electromagnet Res Natl Engn Res Ctr Opt Instruments Zhejiang Prov K Hangzhou 310058 Peoples R China;

Zhejiang Univ Coll Opt Sci &

Engn Ctr Opt &

Electromagnet Res Natl Engn Res Ctr Opt Instruments Zhejiang Prov K Hangzhou 310058 Peoples R China;

Zhejiang Univ Coll Opt Sci &

Engn Ctr Opt &

Electromagnet Res Natl Engn Res Ctr Opt Instruments Zhejiang Prov K Hangzhou 310058 Peoples R China;

Zhejiang Univ Coll Opt Sci &

Engn Ctr Opt &

Electromagnet Res Natl Engn Res Ctr Opt Instruments Zhejiang Prov K Hangzhou 310058 Peoples R China;

Zhejiang Univ Coll Opt Sci &

Engn Ctr Opt &

Electromagnet Res Natl Engn Res Ctr Opt Instruments Zhejiang Prov K Hangzhou 310058 Peoples R China;

Zhejiang Univ Coll Opt Sci &

Engn Ctr Opt &

Electromagnet Res Natl Engn Res Ctr Opt Instruments Zhejiang Prov K Hangzhou 310058 Peoples R China;

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2. Abundance quantification by independent component analysis of hyperspectral imagery for oil spill coverage calculation [J] . HAN Zhongzhi, WAN Jianhua, ZHANG Jie, 中国海洋湖沼学报（英文版） . 2017,第004期
3. Quantifying biochemical variables of corn by hyperspectral reflectance at leaf scale [J] . Qiu-xiang YI, Jing-feng HUANG, Fu-min WANG, 浙江大学学报（英文版）（B辑：生物医学和生物技术） . 2008,第005期
4. Multi-Scale Dilated Convolutional Neural Network for Hyperspectral Image Classification [J] . Shanshan Zheng, Wen Liu, Rui Shan, 哈尔滨工业大学学报（英文版） . 2021,第004期
5. Quantification of cell concentration in biofuel-important microalgae using hyperspectral reflectance and hyperspectral extinction coefficient [J] . International journal of remote sensing . 2019,第23a24期

机译：使用高光谱反射率和高光谱消光系数定量生物燃料重要微藻中的细胞浓度
6. Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland [J] . Sankey Joel B., Sankey Temuulen T., Li Junran, Remote Sensing of Environment: An Interdisciplinary Journal . 2021,第1期

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7. Inelastic hyperspectral lidar for aquatic ecosystems monitoring and landscape plant scanning test [J] . Guangyu Zhao, Elin Malmqvist, Klas Rydhmer, EPJ Web of Conferences . 2018,第2期

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8. Oil classification research by a hyperspectral Scheimpflug lidar system [C] . Kun Chen, Chunsheng Yan Asia Communications and Photonics Conference . 2018

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机译：热和营养胁迫下产油微藻的高光谱成像

Inelastic hyperspectral Scheimpflug lidar for microalgae classification and quantification

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