Personal Profile

杨健，男，湖南邵阳人，副教授，博士，硕士生导师。2017年6月毕业于武汉大学测绘遥感信息工程国家重点实验室，摄影测量与遥感专业，工学博士学位。目前主要从事荧光激光雷达（Fluorescence Lidar）和多/高光谱激光雷达（Multispectral Lidar）等硬件研制；高光谱激光雷达点云目标识别；激光雷达点云智能解译与电力巡航检查；以及碳源碳汇，植被生化参数、营养胁迫等遥感监测应用研究。主持国家自然科学面上基金1项，国家自然科学青年基金1项，重点研发计划子课题1项，湖北省自科基金1项，重点实验室开放基金1项，高校基金1项，主持激光雷达电力巡检和地质灾害监测方面的横向项目4项，并参与多项国家级项目。目前发表学术论文70余篇，担任Remote Sensing, Frontier in remote sensing, Signal, Applied Science等期刊责任编委，并担任Remote Sensing of Environment，Optics Express，IEEE Geoscience and Remote Sensing Letters，Applied Optics，American Society of Agricultural and Biological Engineers，Remote Sensing Letter等期刊的审稿人。

研究方向

荧光激光雷达（Fluorescence Lidar）、多/高光谱激光雷达（Multispectral Lidar）等硬件研制；

高光谱激光雷达雷达点云的目标识别与分类；

激光雷达点云智能解译；基于激光雷达的电力巡检和地质灾害监测；

基于高光谱遥感影像的农作物生化含量、营养胁迫等遥感监测应用研究。

学术主页

Researchgate主页：https://www.researchgate.net/profile/Jian_Yang64

研究意义

针对现有单波长激光雷达与多光谱相机相结合，进行航空测绘遥感时的配准困难、相应工作量较大的现状，采用多波长发射/多通道接收的多光谱地物探测激光雷达，从机理上实现几何/光谱信号的同时配准接收。此外，荧光激光雷达的提出，可以在只有一个波长的情况下，同时获取目标的三维空间信息和目标内部属性的整个光谱信息。通过攻关，实现了相关样机的成功研制，并获得了植被的荧光扫描图像，即只用一个激发波长既能获得其平面空间信息，同时也能获得丰富的光谱信息。我们目前将其应用于水稻营养胁迫的定量监测上，展现了很好的检测区分能力。

科研项目

1、主持国家自然科学面上基金：基于荧光激光雷达的植被荧光三维空间分布特性研究,2023.01-2026.12

2、主持国家自然科学青年基金：荧光激光雷达水稻氮胁迫定量遥感监测研究，2019.01-2021.12

3、主持国家重点研发计划子课题：高光谱激光雷达理论体系建立，2018.05-2022.06

4、主持湖北省自科基金：荧光激光雷达对农作物生化参数定量遥感监测基础研究，2018.01-2019.12

5、主持横向项目：基于多线阵激光雷达系统的复杂输电线路杆塔关键部位安全状态自动检测及分析方法的研究，2024.03-2024.12

6、主持横向项目：500kV线路树种树障识别与预测，2024.02-2024.06

7、主持横向项目：变电站大型机械作业管控系统技术研究，2022.01-2023.12

8、主持横向项目：线路工程建设智能验收技术研究与应用，2022.01-2023.12

9、主持横向项目：基于激光点云与光谱融合技术的输电线路廊道典型树种识别及测距定位技术研究与应用，2021.01-2022.12

10、主持重点实验室开放基金：基于荧光激光雷达对农作物营养胁迫的定量遥感检测研究，2018.01-2019.12

11、主持中国地质大学（武汉）中央高校基本科研业务费专项资助：激光诱导荧光对植被生长状态的定量监测基础研究，2017-2019

12、参与国家自然科学基金国际(地区)合作与交流项目：新型对地观测多光谱激光雷达发展关键技术研究，2016.04-2018.03

13、参与国家自然科学青年基金：时间分辨荧光激光雷达植被遥感监测关键技术方法研究，2017.01-2019.12

学术论文

1、Yang J, Luo B, Gan R, Wang A, Shi S. Multiscale Adjacency Matrix CNN: Learning on Multispectral LiDAR Point Cloud via Multiscale Local Graph Convolution[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024,PP:1-18.

2、Yang S, Yang J*, Shi S, Song S, Luo Y, Yanhua D. The rising impact of urbanization-caused CO2 emissions on terrestrial vegetation[J]. Ecological Indicators, 2023,148:110079.

3、Luo Y, Yang J*, Yang S, Wang A, Shi S, Du L. Assessing the responses of different vegetation types to drought with satellite solar-induced chlorophyll fluorescence over the Yunnan-Guizhou Plateau[J]. Optics Express, 2023,31.

4、Zhang Y Y, Han X, Yang J*, Estimation of Leaf Area Index Over Heterogeneous Regions Using the Vegetation Type Information and PROSAIL Model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 5405-5415.

5、Zhang Y Y, Han X, Yang J*, Exploring the performance of spectral and textural information for leaf area index estimation with homogeneous and heterogeneous surfaces，Photogrammetric Record, 2023, 38(183), 233-251

6、Luo B, Yang J*, Song S, Shi S, Gong W, Wang A, Yanhua D. Target Classification of Similar Spatial Characteristics in Complex Urban Areas by Using Multispectral LiDAR[J]. Remote Sensing, 2022,14:238.（ESI高被引）

7、Yang S, Yang J*, Shi S, Song S, Zhang Y, Luo Y, Yanhua D. An exploration of solar-induced chlorophyll fluorescence (SIF) factors simulated by SCOPE for capturing GPP across vegetation types[J]. Ecological Modelling, 2022,472:110079.

8、Yang J*, Zhang Y, Du L, X. G. L, Shi S, Chen B. Improving the Selection of Vegetation Index Characteristic Wavelengths by Using the PROSPECT Model for Leaf Water Content Estimation[J]. Remote Sensing, 2021,13:821.

9、Zhang Y, Yang J*, Du L. Analyzing the Effects of Hyperspectral ZhuHai-1 Band Combinations on LAI Estimation Based on the PROSAIL Model[J]. Sensors, 2021,21:1869.

10、Sun Z, Yang S, Shi S, Yang J*. The Effect of Principal Component Analysis Parameters on Solar-Induced Chlorophyll Fluorescence Signal Extraction[J]. Applied Sciences, 2021,11:4883.

11、Yang J*, Yang S, Zhang Y, Shi S, Du L. Improving characteristic band selection in leaf biochemical property estimation considering correlations among biochemical parameters based on the PROPSECT-D model[J]. Optics Express, 2020,29.（ESI高被引）

12、Yang J, Du L, Cheng Y, Shi S, Xiang C, Sun J, Chen B. Assessing Different Regression Algorithms for Leaf Nitrogen Concentration Estimation from First-derivative Fluorescence Spectrum[J]. Optics Express, 2020,28.

13、Yang J*, Du L, Gong W, Shi S, Sun J. Estimating leaf nitrogen concentration based on the combination with fluorescence spectrum and first-derivative[J]. Royal Society Open Science, 2020,7:191941.

14、Yang J, Du L, Gong W, Shi S, Sun J, Chen B. Correcting the effect of the detection angular on laser-induced chlorophyll fluorescence[J]. Journal of Physics Communications, 2020,4(1):15017.

15、Zhang Y, Yang J*, X. G. L, Du L, Shi S, Sun J, Chen B. Estimation of Multi-Species Leaf Area Index Based on Chinese GF-1 Satellite Data Using Look-Up Table and Gaussian Process Regression Methods[J]. Sensors, 2020,20:2460.

2019年度及之前发表论文列表

1、Yang, Jian, Cheng, Y., Du, L., Gong, W., Shi, S., Sun, J., & Chen, B. Analyzing the effect of the incidence angle on chlorophyll fluorescence intensity based on laser-induced fluorescence lidar. Optics express, 2019, 27(9): 12541-12550.

2、Yang, Jian, Cheng, Y., Du, L., Gong, W., Shi, S., Sun, J., & Chen, B. Selection of the optimal bands of first-derivative fluorescence characteristics for leaf nitrogen concentration estimation. Applied Optics, 2019, 58(21), 5720-5727.

3、Yang, Jian, Du, L., Shi, S., Gong, W., Sun, J., & Chen, B. Potential of Fluorescence Index Derived from the Slope Characteristics of Laser-Induced Chlorophyll Fluorescence Spectrum for Rice Leaf Nitrogen Concentration Estimation. Applied Sciences, 2019, 9(5), 916.

4、Yang, Jian, Du, L., Gong, W., Shi, S., Sun, J., & Chen, B. Analyzing the performance of the first-derivative fluorescence spectrum for estimating leaf nitrogen concentration. Optics express, 2019, 27(4), 3978-3990.

5、Yang Jian, Du Lin, Gong Wei, et al. Potential of vegetation indices combined with laser-induced fluorescence parameters for monitoring leaf nitrogen content in paddy rice[J]. Plos One, 2018, 13(1): e0191068.

6、Sun Jia, Shi Shuo*, Yang Jian*, et al. Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2018, 135:74-83.

7、Yang Jian, Shi Shuo, Gong Wei, et al. The characterization of plant species using first-derivative fluorescence spectra. Luminescence, 2017. 32: 348–352

8、Jian Yang, Sun Jia, Gong Wei, et al. Monitoring of paddy rice variety based on the combination of the laser-induced fluorescence and multivariate analysis. Food Analytical Methods, 2017, 10:2398–2403 DOI: 10.1007/s12161-017-0809-2

9、Jian Yang, Sun Jia, Shi Shuo et al. Effect of fluorescence characteristics and different algorithms on the estimation of leaf nitrogen content based on laser-induced fluorescence lidar in paddy rice. Optics Express, 2017, 25(4): 3743-3755.

10、Yang Jian, Du Lin, Gong Wei, Sun Jia, et al. Application of the chlorophyll fluorescence ratio in evaluation of paddy rice nitrogen status. Plant Soil & Environment, 2017, 63(9): 396-401.

11、Jia Sun, Jian Yang*, Shuo Shi*, Biwu Chen, Lin Du, Wei Gong, and Shalei Song. Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance. Remote Sensing. 2017, 9(9), 951; doi:10.3390/rs9090951

12、Wei Gong, Yang Jian*, Shi Shuo, et al. The application of time decay characteristics of laser-induced fluorescence in the classification of vegetation. Luminescence, 2017, 32: 17-21

13、Yang Jian, Gong Wei, Shi Shuo, et al. Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice. Scientific Reports, 2016, 6, DOI:10.1038/srep28787.

14、Yang Jian, Du Lin, Sun Jia, et al. Estimating the leaf nitrogen content of paddy rice by using the combined reflectance and laser-induced fluorescence spectra. Optics Express, 2016, 24(17):19354-19365.

15、Yang Jian, Gong Wei, Shi Shuo, et al. Estimation of nitrogen content based on fluorescence spectrum and principal component analysis in paddy rice. Plant Soil & Environment, 2016, 62(4): 178-183.

16、Yang Jian, Gong Wei, Shi Shuo, et al. Excitation wavelength analysis of laser-induced fluorescence LiDAR for identifying plant species. IEEE Geoscience & Remote Sensing Letters, 2016, 13(7): 977-981.

17、Yang Jian, Gong Wei, Shi Shuo, et al. Laser-Induced fluorescence characteristics of vegetation by a new excitation wavelength. Spectroscopy Letters, 2016, 49(4): 263-267.

18、Yang Jian, Shi Shuo, Gong Wei, et al. Laser induced fluorescence spectrum characteristics of paddy under nitrogen stress. Spectroscopy and Spectral Analysis, 2016, 36(2):537-540.

19、Yang Jian, Gong Wei, Shi Shuo, et al. The effect of chlorophyll concentration of paddy rice on the fluorescence spectrum. Spectroscopy and Spectral Analysis, 2016, 36(10): 3410-3413.

20、Yang Jian, Gong Wei, Shi Shuo, et al. Accurate identification of nitrogen fertilizer application of paddy rice using laser-induced fluorescence combined with support vector machine. Plant Soil & Environment, 2015, 61(11):501-506.

21、Yang Jian, Gong Wei, Shi Shuo, et al. Vegetation identification based on characteristics of fluorescence spectral spatial distribution. RSC Advances, 2015, 5(70):56932-56935.

22、Yang Jian, Shi Shuo, Gong Wei, et al. Application of fluorescence spectrum to precisely inverse paddy rice nitrogen content. Plant Soil & Environment, 2015, 61(4):182-188.

23、张寅超, 杨健, 陈和, 陈思颖, 郭磐, & 刘立娜. 气溶胶粒子的吸收对散射光强的影响. 北京理工大学学报, (2015). 35(6), 612-615.

24、Du Lin, Shi Shuo, Yang Jian, et al. Using Different Regression Methods to Estimate Leaf Nitrogen Content in Rice by Fusing Hyperspectral LiDAR Data and Laser-Induced Chlorophyll Fluorescence Data. Remote Sensing, 2016, 8(6), 526, DOI: 10.3390/rs8060526.

25、Du Lin, Shi Shuo, Yang Jian, et al. Potential of spectral ratio indices derived from hyperspectral LiDAR and laser-induced chlorophyll fluorescence spectra on estimating rice leaf nitrogen contents. Optics Express, 2017, 25(6), 6539-6549

26、Du Lin, Gong Wei, Shi Shuo, Yang Jian, et al. Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR. International Journal of Applied Earth Observation & Geoinformation, 2016, 44:136-143.

27、Gong Wei, Sun Jia, Shi Shuo, Yang Jian, et al. Investigating the Potential of Using the Spatial and Spectral Information of Multispectral LiDAR for Object Classification. Sensors, 2014, 15(9):21989-22002.

28、Jia Sun, Gong Wei, Shi Shuo, Jian Yang, et al. Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer. Scientific Reports, 2017, 1, DOI: 10.1038/srep40362.

29、Du Lin, Shi Shuo, Gong Wei, Jian Yang, et al. Wavelength Selection of Hyperspectral LIDAR Based on Feature Weighting for Estimation of Leaf Nitrogen Content in Rice[J]. ISPRS-International Archives of the Photogrammetry Remote Sensing & S, 2016, XLI-B1:9-13.

30、Ma Ying-ying, Gong Wei, Wang Lun-che, Zhang Ming, Chen Zhong-yong, Li, Jun, Jian Yang. Inversion of the haze aerosol sky columnar AVSD in central china by combining multiple ground observation equipment. Optics Express, 2016, 24(8):8170-8185.

31、Chen Biwu, Shi Shuo, Gong Wei, Zhang Qingjun, Yang, Jian, et al. Multispectral lidar point cloud classification: a two-step approach. Remote Sensing, 2017, 9(4), 373.

授权专利和软著： 

1、2023 一种高光谱激光雷达的辐射校正方法和装置-发明专利证书，ZL202110769535.5

2、2023 一种植被探测双通道荧光激光雷达系统，ZL201910397408.X

3、2023 面向植被生化参数探测的多光谱激光雷达波长选择方法，ZL201811482434.4

4、2022 机载LiDAR点云输电廊道树障自动测距定位及可视化软件，2022SR1372691

5、2023 机载LiDAR点云输电廊道电力线重建及可视化软件，2023SR0958130

6、2023 机载LiDAR点云输电廊道电力线相关参数量算及可视化软件，2023SR1340320

会议论文：

1、Yang Jian, Gong W, Shi S, et al. The Effective of Different Excitation Wavelengths on the Identification of Plant Species Based on Fluorescence LIDAR. ISPRS 2016, XLI-B1:147-150.

2、Du L, Shi S, Gong W, Jian Yang, et al. Wavelength Selection of Hyperspectral LIDAR Based on Feature Weighting for Estimation of Leaf Nitrogen Content in Rice.  ISPRS-International Archives of the Photogrammetry Remote Sensing & S, 2016, XLI-B1:9-13.

3、Yang Jian, Chen H, Zhang Y, et al. Study on the extinction coefficient of spherical aerosol particles. Proceedings of SPIE-The International Society for Optical Engineering, 2013, 8905:610-614.

联系方式

地址：湖北省武汉市鲁磨路388号信息工程学院124室，430074

邮箱：yangjian@cug.edu.cn/wind_yang@whu.edu.cn

电话：15927498085