林宏泽

本课题组主要围绕荧光/多光谱激光雷达系统进行植物表型检测研究。课题覆盖硬件与软件等多个方面。硬件系统如激光雷达的搭建，云台、机械臂、无人机等载具的设计与搭建；软件系统如嵌入式系统编写，植物三维点云识别算法、机械臂扫描路径规划算法研究等。无论同学想深入硬件开发、算法开发、还是软硬件兼修，都能找到自己喜欢的方向。26年招收控制专硕或人工智能专硕，热忱欢迎对这个方向感兴趣的同学前来咨询。

联系方式：linhongze@hdu.edu.cn

2008.9~2012.6 浙江大学光电系/竺可桢学院 

2012.9~2017.6 浙江大学光电系

2015.12~2016.5 School of Chemistry, University of Bristol

Zhejiang University, China

Bachelor of Optical Engineering, 2008-2012.

Ph.D. of Optical Engineering, 2012-2017.

University of Bristol, UK

1. 激光雷达 LiDAR

    基于沙氏激光雷达与脉冲激光雷达开展研究，包括植物三维荧光点云检测、水下目标三维相貌检测等。结合不同载具，如机械臂、无人机、机械狗，实现不同场景下的植物表型信息提取。

2. 激光/LED诱导荧光 Laser/LED induced Fluorescence Spectroscopy

    使用LED或激光对食品/农作物的荧光进行激发并进而分析品质与缺陷。

3. 光学气体检测技术

    使用WMS、TDLAS、DOAS等技术对多种气体的浓度检测进行测量，开发基于光学技术的气体检测设备。

l  Fluorescence LiDAR

l  LED-induced fluorescence

l  Optical gas sensing

Dummy机械臂搭载的激光雷达系统（26届马超等）

无人机搭载激光雷达系统（26届吴品梦）

《数字图像处理》

《Python与算法设计实验》

《控制系统课程设计》

《单片机技术与应用（全英文）》

《专业英语》

《项目管理》

《工程伦理》

1.     K. Zheng, H. Lin, X. Hong, H. Che, X. Ma, X. Wei, and L. Mei*, Development of a multispectral fluorescence LiDAR for point cloud segmentation of plants, Opt Express 31, 18613-18629 (2023).

2.     T. Zhang, Y. Liu, Z. Dai, L. Cui, H. Lin*, Z. Li, K. Wu, and G. Liu, Quantitative Detection of Extra Virgin Olive Oil Adulteration, as Opposed to Peanut and Soybean Oil, Employing LED-Induced Fluorescence Spectroscopy, Sensors 22 (2022).

3.     H. Lin, K. Wu, T. Zhang, X. Lai, and L. Mei*, Remote sensing of vehicle emitted carbon oxides employing wavelength modulation spectroscopy and a segment modulation method, Microwave and Optical Technology Letters (2022).

4.     K. Wei, B. Chen, Z. Li, D. Chen, G. Liu, H. Lin*, and B. Zhang*, Classification of Tea Leaves Based on Fluorescence Imaging and Convolutional Neural Networks, Sensors 22 (2022).

5.     J. Luo, H. Lin, A. Yang, E. Forsberg, C. Zhang, and S. He*, Pulse fluorescence LIDAR system for identification and low concentration measurements of Phaeocystis globosa cells and colonies, Optik 270 (2022).

6.     H. Lin, Y. Zhang, and L. Mei*, Fluorescence Scheimpflug LiDAR developed for the three-dimension profiling of plants, Opt. Express 28, 9269-9279 (2020).

7.     H. Lin*, Z. Li, H. Lu, S. Sun, F. Chen, K. Wei, and D. Ming, Robust Classification of Tea Based on Multi-Channel LED-Induced Fluorescence and a Convolutional Neural Network, Sensors 19, 4687 (2019).

8.     F. Gao, H. Lin, K. Chen, X. Chen, and S. He*, Light-sheet based two-dimensional Scheimpflug lidar system for profile measurements, Opt. Express 26, 27179-27188 (2018).

9.     F. Gao, J. Li, H. Lin, and S. He*, Oil pollution discrimination by an inelastic hyperspectral Scheimpflug lidar system, Opt. Express 25, 25515-25522 (2017).

10.   R. E. Willoughby, M. I. Cotterell, H. Lin, A. J. Orr-Ewing, and J. P. Reid*, Measurements of the Imaginary Component of the Refractive Index of Weakly Absorbing Single Aerosol Particles, J Phys Chem A 121, 5700-5710 (2017).

11.    H. Lin, F. Gao, Y. Ding, C. Yan, and S. He*, Methane detection using scattering material as the gas cell, Appl. Opt. 55, 8030-8034 (2016).

12.   H. Lin, X. Lou, W. Zhong, and S. He*, Continuous monitoring of elemental mercury employing low-cost multimode diode lasers, Meas. Sci. Technol. 26, 085501 (2015).