个人简介

杨健,博士,硕士生导师,湖南邵阳人。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。2017年7月任教于新利18体育网页版遥感科学与技术系副教授。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,以及农作物生化含量、营养胁迫等遥感监测应用研究。主持高校基金1项,重点实验室开放基金1项,湖北省自科基金1项,参与多项国家级项目。目前发表18新利体育网页版登录论文30余篇,第一作/通讯SCI收录论文18篇,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

农作物生化含量、营养胁迫等遥感监测应用研究。


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

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

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

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

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

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


18新利体育网页版登录论文

[1]. 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.

[2]. 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.

[3]. Yang Jian, Shi Shuo, Gong Wei, et al. The characterization of plant species using first-derivative fluorescence spectra.Luminescence, 2017.32: 348–352

[4]. 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

[5]. 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.

[6]. 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.

[7]. 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

[8]. 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

[9]. 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.

[10]. 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.

[11]. 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.

[12]. 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.

[13]. 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.

[14]. 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.

[15]. 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.

[16]. 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.

[17]. 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.

[18]. 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.

[19]. 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.

[20]. 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.

[21]. 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

[22]. 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.

[23]. 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.

[24]. 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.

[25]. 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.

[26]. 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.

[27]. 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.


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