激光雷达遥感

1997.09-2000.07　 北京大学城市与环境学系，硕士（环境地学）
1992.09-1997.07　 北京大学城市与环境学系，本科（环境地学）

2020.3-现在     中科院空天信息创新研究院 数字地球重点实验室  副研究员
2010.3- 2020.3 　 中科院遥感与数字地球研究所 数字地球重点实验室 副研究员
2006.1-2010.3   中科院光电研究院  副研究员
2000.7-2006.1　 中科院中国遥感卫星地面站（助研，2001.8；副研：2003.8）

[1]2019.1-2022.12 国家自然科学基金面上项目：融合机载全波形LiDAR与高光谱数据的玉米FPAR反演机理与方法研究（41871264），项目负责人
[2]2017.1-2018.12 国家自然科学基金海外究基金：基于遥感影像和激光雷达数据的河流流量监测方法研究（41628101），（依托单位）项目负责人
[3]2015.1-2018.12 国家自然科学基金面上项目：基于星载GLAS与光学影像的森林生物量反演机理与方法研究（41271428），项目负责人
[4]2018.1-2021.12 国家重点研发计划子课题：全球森林植被高度与生物量立体观测与反演，子课题负责人
[5]2020.1-2023.12 广西森林植被垂直结构LiDAR遥感，课题负责人
[6]2017.9-2019.10 国防科工局项目：机载三维激光定标研究，课题负责人

2019年12月  北京市科技进步二等奖  排名第三
2019年1月   河南省科技进步二等奖  排名第二
2018年9月   测绘科技进步二等奖   排名第二

王成，习晓环，骆社周，李贵才. 星载激光雷达数据处理与应用[M]. 北京：科学出版社，2015.
代表性论文：
[1]Xi Xiaohuan, Han Tingting, Wang Cheng*, Shezhou Luo, Shaobo Xia and Feifei Pan. Forest above ground biomass inversion by fusing GLAS with optical remote sensing data[J]. International Journal of Geo-Information, 2016, 5, 45: 1-12. oi:10.3390/ijgi5040045.  
[2]Peng Shuwen, Xi Xiaohuan*, Wang Cheng, Xie Rongchang, Wang Pu, Tan Hongwu. Point-Based Multilevel Domain Adaptation for Point Cloud Segmentation[J]. IEEE Geoscience and Remote Sensing Letters, https://doi.org/10.1109/LGRS.2020.3037702.
[3]Shi Juncheng, Wangcheng, Xi Xiaohuan*, Yang Xuebo, Wang Jinliang, Ding Xue. Retrieving fPAR of maize canopy using artificial neural networks with airborne LiDAR and hyperspectral data[J]. Remote Sensing Letters, 11(11): 1002-1011.
[4]Zhao Haipeng, Xi Xiaohuan*, Wang Cheng, Pan Feifei. Ground surface recognition at voxel scale from mobile laser scanning data in urban environment[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17(2): 317-321, 10.1109/LGRS.2019.2919297.
[5]Peng Shuwen, Xi Xiaohuan*, Wang Cheng, Dong Pinliang, Wang Pu, Nie Sheng. Systematic Comparison of Power Corridor Classification Methods from ALS Point Cloud[J]. Remote Sensing, 2019, 11, 1961; doi:10.3390/rs11171961.
[6]Yang Xuebo, Xi Xiaohuan*, Wang Cheng, Shi Juncheng, Huang Youju. A physical inversion method of canopy fPAR from airborne liDAR data and ground measurements[C]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, 11, 553-557.
[7]Wang Cheng, Luo Shezhou, XI Xiaohuan, Sheng Nie, Dan Ma. Influence of Voxel Size on Forest Canopy Height Estimates Using Full-Waveform Airborne LiDAR Data[J]. Forest Ecosystems, 2020, 7(31): https://doi.org/10.1186/s40663-020-00243-2
[8]Feifei Pan, Xiaohuan Xi, Cheng Wang. A Comparative Study of Water Indexes and Image Classification Algorithms for Mapping Inland Surface Water Bodies Using Landsat Imagery[J]. Remote Sensing, 2020, 12, 1611; doi:10.3390/rs12101611.
[9]刘洋, 习晓环*, 王成, 聂胜, 王濮. 一种改进的渐进加密三角网点云滤波算法[J]. 测绘科学, 2020, 45(5): 106-111.
[10]朱笑笑, 王成*, 习晓环, 聂胜, 等. ICESat-2星载光子计数激光雷达数据处理与应用研究进展[J]. 红外与激光工程, 2020, 49(11): 20200259.
[11]Sheng Nie, Cheng Wang, Xiaohuan Xi, Shezhou Luo, Xiaoxiao Zhu, Guoyuan Li, Hua Liu, Jinyan Tian, and Su Zhang. Assessing the impacts of various factors on treetop detection using LiDAR-derived canopy height models [J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, IEEE Geoscience and Remote Sensing Letters,   10.1109/LGRS.2019.2911967
[12]Luo Shezhou, Wang Cheng, Xi Xiaohuan, Nie Sheng, Fan Xieyu, Chen Hanyue, Ma Dan, Liu Jinfu, Zhou Jie, Lin Yi, Zhou Guoqing. Estimating forest aboveground biomass using small-footprint full-waveform airborne LiDAR data[J]. International Applied Earth Observation Geoimformation, 2019, 83, 101922.  https://doi.org/10.1016/j.jag.2019.101922
[13]Yang Xuebo, Wang Cheng, Xi Xiaohuan, Wang Pu, Lei Zhao, Ma Weifeng, Nie Sheng. Extraction of Multiple Building Heights Using ICESat/GLAS Full-waveform Data Assisted by Optical Imagery [J]. IEEE Geoscience and Remote Sensing Letters, 2019, 10.1109/LGRS.2019.2911967.
[14]Pan Feifei, Xi Xiaohuan, Wang Cheng. A MATLAB-based digital elevation model 1 (DEM) data processing toolbox (MDEM)[J]. Environmental Modelling & Software, 2019, 122: 104566.
[15]Shezhou Luo, Cheng Wang*, Xiaohuan Xi, Sheng Nie, Xieyu Fan, Hanyue Chen, Xuebo Yang, Dailiang Peng, Yi Lin, Guoqing Zhou. Combining hyperspectral imagery and LiDAR pseudo-waveform for predicting crop LAI, canopy height and above-ground biomass[J]. Ecological Indicatiors, 2019, 102: 801-812.
[16]Xuebo Yang, Cheng Wang*, Feifei Pan, Xiaohuan Xi, Sheng Nie, Shezhou Luo. Retrieving leaf area index in discontinuous forest using ICESat/GLAS full-waveform data based on gap fraction model [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 148, 54-62.
[17]陈世超, 戴华阳, 习晓环*, 王成, 管力. 激光扫描数据的密集噪声剔除方法研究[J]. 激光与电子学进展, 2019, 56(6): 062801-1-8.
[18]Zhu Xiaoxiao, Wang Cheng, Nie Sheng, Xi Xiaohuan, Hu Zhenyue. A Ground Elevation and Vegetation Height Retrieval Algorithm Using Micro-Pulse Photon-Counting Lidar Data[J]. Remote Sensing, 2018, 10, 1962; doi:10.3390/rs10121962.
[19]Yang Xuebo, Wang Cheng, Nie Sheng, Xi Xiaohuan, Hu Zhenyue, Qin Haiming. Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data[J]. Remote Sensing, 2018, 10, 1691, doi:10.3390/rs10111691.
[20]Nie Sheng, Wang Cheng*, Xi Xiaohuan, Li Guoyuan, Luo Shezhou, Yang Xuebo, Wang Pu, Zhu Xiaoxiao. Exploring the influence of various factors on slope estimation using large-footprint LiDAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018，56(11): 6611-6621.
[21]赵海鹏, 习晓环*, 王成, 雷钊. 基于车载激光扫描数据的城区道路自动提取研究[J]. 中国科学院大学学报, 2018, 35(6): 782-787.
[22]雷钊, 习晓环*, 王成, 王濮, 王永兴, 尹国清. 决策树约束的建筑点云提取方法研究[J]. 激光与光电子学进展, 2018, 55(08): 2803-1-7.
[23]朱笑笑, 王成*，习晓环, 王濮, 田新光, 杨学博. 多级移动曲面拟合的自适应阈值点云滤波方法[J]. 测绘学报, 2018, 47(2): 153-160.
[24]Haiming Qin, Cheng Wang, Kaiguang Zhao, Xiaohuan Xi. Estimation of the fraction of absorbed photosynthetically active radiation (fPAR) in maize canopies using LiDAR data and hyperspectral imagery[J]. PLOS ONE, 2018
[25]Sheng Nie, Cheng Wang*, Xiaohuan Xi, Shezhou Luo, Guoyuan Li, Jinyan Tian, and Hongtao Wang. Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data[J]. Optics Express, 2018, 26(10): A520.
[26]Qin Haiming, Wang Cheng*, Xi Xiaohuan, Nie Sheng, Zhou Guoqing. Integration of airborne LiDAR and hyperspectral data for maize FPAR estimation based on a physical model[J]. IEEE Geoscience and Remote Sensing, 2018, 10.1109/LGRS.2018.2825878
[27]Nie Sheng, Wang Cheng*, Xi Xiaohuan, Luo Shezhou, Li Shihua, Tian Jianlin. Estimating the height of wetland vegetation using airborne discrete-return LiDAR data[J]. Optik - International Journal for Light and Electron Optics, 2018, 154: 267-274
[28]杨学博, 王成*, 习晓环, 田建林, 聂胜, 朱笑笑. 大光斑LiDAR全波形数据小波变换的高斯递进分解[J]. 红外与毫米波学报, 2017, 36(6): 731-737.
[29]Wang Cheng, Nie Sheng*, Xi Xiaohuan, Luo Shezhou. Estimating the biomass of maize with hyperspectral and LiDAR data[J]. Remote Sensing, 2017, 9, 11, doi:10.3390/rs9010011.
[30]Qin Haiming, Wang Cheng*, Xi Xiaohuan, Tian Jianlin, Zhou Guoqing. Estimation of coniferous forest aboveground biomass with airborne small-footprint full-waveform LiDAR data[J]. Optics Express, 2017.25(16): A851-A869.
[31]Qin Haiming, Wang Cheng*, Xi Xiaohuan, Tian Jianlin, Zhou Guoqing. Simulating the Effects of the Airborne Lidar Scanning Angle, Flying Altitude, and Pulse Density for Forest Foliage Profile Retrieval[J]. Applied Sciences, 2017, 7, 712: 1-18; doi:10.3390/app7070712.
[32]Luo Shezhou, Wang Cheng*, Xi Xiaohuan, Pan Feifei, Qian Mingjie, Peng Dailiang, Nie Sheng, Qin Haiming, Lin Yi. Retrieving aboveground biomass of wetland Phragmites australis(common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data[J]. International Journal of Applied Earth Observation and Geoinformation, 2017, 58: 107-117.
[33]Wang Cheng, Nie Sheng*, Xi Xiaohuan, Luo Shezhou. Estimating the biomass of maize with hyperspectral and LiDAR data[J]. Remote Sensing, 2017, 9, 11, doi:10.3390/rs9010011.
[34]Nie Sheng, Wang Cheng*, Xi Xiaohuan, A novel model for terrain slope estimation using ICESat/GLAS waveform data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017
[35]Luo Shezhou, Wang Cheng*, Xi Xiaohuan, Pan Feifei, Peng Dailiang, Zou Jie, Nie Sheng, Qin Haiming. Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation [J]. Ecological Indicators, 2017, 73: 378-387.
[36]王平华, 习晓环*, 王成, 夏少波. 机载激光雷达数据快速提取电力线研究[J]. 测绘科学, 2017, 42(2): 154-158,171.
[37]葛莉，习晓环*，王成，Khun Neay Khuon. ICESat/GLAS数据湖泊水位监测研究进展[J]. 遥感技术与应用，2017, 32(1): 14-19.
[38]Luo Shezhou, Wang Cheng*, Xi Xiaohuan, Zeng Hongcheng, Li Dong, Xia Shaobo and Wang Pinghua. Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification[J]. Remote Sensing, 2016, 8(3): 1-19. doi:10.3390/rs8010003. 
[39]Nie Sheng, Wang Cheng*, Xi Xiaohuan, Luo Shezhou. Estimating the height of wetland vegetation using airborne discrete-return LiDAR data[J]. International Journal of Applied Remote Sensing, 2016, 2016-4-21.
[40]Feifei Pan, Cheng Wang, Xiaohuan Xi. Constructing river stage-discharge rating curves using remotely sensed river cross sectional inundation areas and river bathymetry[J]. Journal of Hydrology, 2016, 540: 670-687. http://dx.doi.org/10.1016/j.jhydrol.2016.06.024. 
[41]Luo Shezhou, Wang Cheng*, Chen Jingming, Xi Xiaohuan, Zeng Hongcheng, Peng Dailiang, Li Dong. Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters[J]. Optics Express, 2016, 24(11): 1-16.  DOI:10.1364/OE.24.011578.
[42]Sheng Nie, Cheng Wang*, Pinliang Dong, Xiaohuan XI. Estimating Leaf Area Index of maize using airborne full-waveform LiDAR data[J]. Remote Sensing Letters, 2016, 7(2): 111-120. 
[43]Xi Xiaohuan, Wan Yiping, Wang Cheng*. Building boundaries extraction from points cloud using an image edge detection method[C]. IEEE Geosciences and Remote Sensing Symposium（IGARSS 2016）, Beijing, China, 2016, 7.10-15.
授权专利情况：
[1]一种星载激光雷达树高提取方法，专利号：201610378509.9, 授权日期：2019.4.26
[2]一种从机载LiDAR数据自动提取电塔点云的方法，专利号：ZL 201710356115.8, 授权日期：2019.10.18
[3]一种基于机载LiDAR点云数据的杆塔自动化建模方法，专利号：ZL 201811634889.3，授权日期：2020.10.19
[4]基于杆塔特征点的电力巡线LiDAR数据自动化配准方法，专利号：ZL 201811634812.6，授权日期：2020.11.16

招生方向：激光雷达数据处理与应用

2021.6 彭淑雯 北京师范大学 读博
2020.6 刘洋 北京四维图新科技股份有限公司
2019.6 雷钊 华为技术有限公司北京分公司
2018.6 赵海鹏 美国印第安纳州立大学读博
2017.6 葛莉 《自动化学报》编辑部
2016.6 王平华 南方电网
2015.6 万怡平 中国移动南昌分公司
2014.6 王方建 北京易控智驾股份有限公司
2013.6 李铁乔 新华社