研究员

王成

电子邮箱:Wangcheng@radi.ac.cn
办公电话:010-82178120

 

研究领域/方向

激光雷达遥感

 

 

教育背景


2002.04-2005.11  法国路易斯-巴斯德(Louis Pasteur)大学 激光雷达遥感 博士学位
1998.09-2001.07  南京师范大学地理科学学院 遥感与GIS 硕士学位
1994.09-1998.07  河海大学测量工程系 工程测量 学士学位

 

 

工作经历


2009.10-现在    中科院空天院、遥感地球所、对地观测中心,研究员
2007.05-2009.09   美国爱达荷州立大学(Idaho State University)博士后
2006.09-2007.04   中科院光电研究院 助理研究员
2005.11-2006.08  法国路易斯-巴斯德(Louis Pasteur)大学 博士后

 

 

承担科研项目情况


[1] 2018.01-2021.06,高分专项项目“GF-7卫星建筑模型构建及真正射影像生成技术”,项目负责人
[2] 2020.07-2022.06,XX卫星工程“激光测距仪数据处理”,项目负责人
[3] 2021.01-2024.12,国家自然科学基金面上项目“基于新一代星载LiDAR数据的中国30m分辨率森林高度反演研究”,项目负责人
[4] 2017.1-2020.12,国家自然科学基金面上项目“基于光子计数激光雷达数据的森林生物量反演研究”,项目负责人
[5] 2012.1-2015.12,国家自然科学基金面上项目“基于机载激光雷达和高光谱影像的森林LAI自动提取研究”,项目负责人
[6] 2014.01-2017.09,科技部国家重大科学仪器设备开发专项项目“机载双频激光雷达产品开发和应用”,课题“基于机载双频激光雷达的地理信息应用软件开发”负责人
[7] 2014.08-2017.12,中科院国际合作重点项目“吴哥遗产地环境遥感”,项目负责人
[8] 2019.3-2020.12,国家电网公司项目“机载激光扫描机上实时处理技术研究”,项目负责人
[9] 2014.06-2017.03,国家电网公司项目“机载激光雷达电力巡线软件系统研制”,项目负责人
[10] 2017.7-2019.6,贵州电网公司项目“三维激光项目技术服务”,项目负责人

 

 

获奖及荣誉


(1)国家“万人计划”科技创新领军人才
(2)科技部中青年科技创新领军人才
(3)中科院“百人计划”
(4)2020.04 北京市科技进步二等奖 排名第1
(5)2019.01 河南省科技进步二等奖  排名第1
(6)2018.09 中国测绘科技进步二等奖 排名第1

 

 

主要论著


 专著:
[1] 王成,习晓环,杨学博,聂胜. 激光雷达遥感概论. 高教出版社,2021
[2] 王成,习晓环,骆社周,李贵才. 星载激光雷达数据处理与应用. 科学出版社,2015.
[3] 郭华东,王心源,陈富龙,王成,空间考古学导论. 科学出版社,2020.
SCI论文目录:
[1] Zhao Zongze , Cheng Gang , Wang Cheng* , et al. City Grade Classification Based on Connectivity Analysis by Luojia I Night-Time Light Images in Henan Province, China[J]. Remote Sensing, 2020, 12(11):1705.
[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] Lao Jieying, Wang Cheng *, Wang Jinliang, et al. Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies[J]. Remote Sensing, 2020, 12, 1675.
[4] Wang Cheng, Yang Xuebo, Xi Xiaohuan,. Evaluation of Footprint Horizontal Geolocation Accuracy of Spaceborne Full-Waveform LiDAR Based on Digital Surface Model[J].  IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2020, 13: 2135-2144.
[5] Zhu Xiaoxiao, Wang Cheng *, Nie Sheng, et al. A noise removal algorithm based on OPTICS for photon-counting LiDAR data[J]. IEEE Geoscience and Remote Sensing Letters, 2020.
[6] Zhao Zongze , Cheng Gang , Wang Cheng* , et al. City Grade Classification Based on Connectivity Analysis by Luojia I Night-Time Light Images in Henan Province, China[J]. Remote Sensing, 2020, 12(11):1705.
[7] 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.
[8] 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
[9] 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.
[10] Zhu Xiaoxiao, Wang Cheng*, Nie Sheng*, Pan Feifei, Xi Xiaohuan, Hu Zhenyue. Mapping forest height using photon-counting LiDAR data and Landsat 8 OLI data: A case study in Virginia and North Carolina, USA[J]. Ecological Indicators, 2020, 114: 106287.
[11] 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.
[12] Zhu Xiaoxiao, Wang Cheng, Nie Sheng, Xi Xiaohuan, Jinsong Wang, Dong Li, Hangyu Zhou. A noise removal algorithm based on OPTICS for photon-counting LiDAR data[J]. IEEE Geoscience and Remote Sensing Letters, 2020,
[13] 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
[14] Cheng Wang, Xiaoxiao Zhu, Sheng Nie, Xiaohuan, Dong Li, Wenwu Zheng. Ground elevation accuracy verification of ICESat-2 data: A study case in Alaska USA[J]. Optical Express, 2019, 27(26): 38168.
[15] 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
[16] 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.
[17] 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.
[18] Meng Xiangshuang, Lin Yi, Yan Lei, Gao Xianlian, Yao Yunjun, Wang Cheng, Luo Shezhou. Airborne LiDAR point cloud filtering by a multilevel adaptive filter based on morphological reconstruction and thin plate spline interpolation[J]. Electronics, 2019, 8, 1153;   doi:10.3390/electronics8101153.
[19] Peng Dailiang, Zhang Helin, Liu Liangyun, Huang Wenjiang, Alfredo T. Huete, Zhang Xiaoyang, Wang Fumin, Yu Le, Xie Qiaoyun, Wang Cheng, Luo Shezhou, Li Cunjun, Zhang Bing. Estimating the aboveground biomass for planted forests based on stand age and environmental variables. Remote Sensing, 2019, 11, 2270, doi:10.3390/res11192270.
[20] 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.
[21] Wang Cheng, Qin Haiming, Kaiguang Zhao, Pinliang Dong, Guoqing Zhou, Xiaohuan Xi, Xuebo Yang. Assessing the impact of built-up environment on nighttime lights in China[J]. Remote Sensing, 2019, 11, 1712; doi:10.3390/rs11141712.
[22] Chen Shichao, Wang Cheng, Dai Huayang, Zhang Hebing, Pan Feifei, Xi Xiaohuan, Yan Yueguan, Wang Pu, Yang Xuebo, Zhu Xiaoxiao, Aben Ardana. Power pylon reconstruction based on abstract template structures using airborne LiDAR data[J]. Remote Sensing, 2019, 11, 1579; doi:10.3390/rs11131579.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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.
[28] 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  https://doi.org/10.1371/journal.pone.0197510
[29] Pan Feifei, Xie Jianping, Lin Juming, Zhao Tingwei, Ji Yongyuan, Hu Ji, Pan Xuebiao, Wang Cheng, Xi Xiaohuan. Evaluation of Climate Change Impacts on Wetland Vegetation in the Dunhuang Yangguan National Natural Reserve in Northwest China Using Landsat Derived NDVI[J]. Remote Sensing, 2018, 10, 735: 1-18.  doi:10.3390/rs10050735.
[30] 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.
[31] 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
[32] 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  SCI
[33] Shezhou Luo, Jing M Chen, Cheng Wang*, Alemu Gonsamo, Xiaohuan Xi, Yi Lin, Mingjie Qian, Dailiang Peng, Sheng Nie, and Haiming Qin. Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(1): 300-310. DOI: 10.1109/JSTARS.2017.2765890   SCI
[34] Xingdong Wang, Zhankai Wu, Cheng Wang, Xinwu Li, Xinguang Li, Yubao Qiu. Reducing the Impact of Thin Clouds on Arctic Ocean Sea Ice Concentration From FengYun-3 MERSI Data Single Cavity. IEEE Access, 2017, 5: 16341-16348   SCI
[35] Xinwu Li, Xingdong Wang*, Cheng Wang, Lu Zhang. Antarctic snow melt detection based on the synergy of SSM/I and QuikSCAT. Antarctic Science, 2017, 29 (6): 561-568  SCI
[36] Zhao Kaiguang, Suarez J C, Garcia M, Hu Tongxi, Wang Cheng. Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux [J]. Remote Sensing of Environment, 2017, DOI: 10.1016/j.rse.2017.09.007  SCI
[37] Nie Sheng, Wang Cheng*, Dong Pinliang, Li Guicai, Xi Xiaohuan, Wang Pu, Yang Xuebo. A novel model for terrain slope estimation using ICESat/GLAS waveform data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, PP(99):1-11    SCI
[38] 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.  SCI
[39] 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.  SCI
[40] Qin Haiming, Wang Cheng*, Pan Feifei, Lin Yi, Xi Xiaohuan, Luo Shezhou. Estimation of FPAR and FPAR profile for maize canopies using airborne LiDAR[J]. Ecological Indicators, 2017, 83:53-61. SCI
[41] 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.  SCI
[42] Nie Sheng, Wang Cheng*, Zeng Hongcheng, Xi Xiaohuan, Li Guicai.  Above-ground biomass estimation using airborne discrete-return and full-waveform LiDAR data in a coniferous forest [J]. Ecological Indicators, 2017, 78: 221-228. DOI: 10.1016/j.ecolind.2017.02.045.   SCI
[43] Nie Sheng, Wang Cheng*, Dong Pinliang, Xi Xiaohuan, Luo Shezhou, Qin Haiming.   A revised progressive TIN densification for filtering airborne LiDAR data[J]. Measurement, 2017, 104: 70-77. DOI:10.1016/j.measurement.2017.03.007. SCI
[44] Chen Fulong, Guo Huadong, Ma Peifeng, Lin Hui, Wang Cheng, Natarajan Ishwaran, Peou Hang. Radar interferometry offers new insights into threats to the Angkor Site[J]. Science Advances, 2017, 3: e1601284.  SCI
[45] 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. SCI
[46] 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. SCI
[47] He Liu, Hejun Duan, Cheng Wang. Effects of Ambient Environmental Factors on the Stereotypic Behaviors of Giant Pandas(Ailuropoda melanoleuca)[J]. PLoS ONE 12(1): e0170167. doi:10.1371/journal.pone.0170167. SCI
[48] Xingdong Wang, ChengWang*. Antarctic Snowmelt Detection Using QuickSCAT Data Based on Wavelet Transform Combined With A Generalized Gaussian Model[J]. Journal of Residuals Science & Technology, 2016, 13 (8): 146.1-146.5.  SCI
[49] Dong Li, Huadong Guo, Cheng Wang ,Wang Li, Hanyue Chen, Zhengli Zuo. Individual Tree Delineation in Windbreaks Using Airborne Laser Scanning Data and Unmanned Aerial Vehicle Stereo Images[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(9): 1330-1334.   SCI
[50] Dong Li, Huadong Guo, Cheng Wang, Pinliang Dong, Zhengli Zuo. Improved bore-sight calibration for airborne LiDAR using planar patches[J]. Journal of Applied Remote Sensing. 2016, 10(2): 024001.1-18.  doi: 10.1117/1.JRS.10.024001.  SCI
[51] 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.  SCI
[52] Yi Lin, Lifu Zhang, Cheng Wang. Airborne light detection and ranging laser return intensity-based investigation into crown-inside? A case study on Quercus robur trees[J]. Journal of Applied Remote Sensing. 2016, 10(2), 026024, doi: 10.1117/1.JRS.10.026024.   SCI
[53] Nie Sheng, Wang Cheng*, Dong Pinliang, Xi Xiaohuan, Luo Shezhou. Estimating Leaf Area Index of maize using airborne discrete-return LiDAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(7): 3259-3266. DOI: 10.1109/JSTARS.2016.2554619.  SCI
[54] 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.  SCI
[55] 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]. ISPRS International Journal of Geo-Information, 2016, 5, 45: 1-12. doi:10.3390/ijgi5040045.  SCI
[56] Wang Yuanyuan, Li Guicai, Ding Jianhua, Guo zhaodi, Tang Shihao, Wang Cheng, Huang Qingni, Liu Ronggao, Chen Jingming. A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height[J]. Remote Sensing of Environment, 2016, 174: 24-43. SCI
[57] 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.  SCI
[58] 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.   SCI

 

 

招生信息

招生方向:激光雷达遥感

 

 

指导学生情况


2013年6月 肖勇(硕士) 美国读博
2014年6月 杨婷(硕士) 北大读博
2016年6月 夏少波(硕士) 加拿大读博
2017年6月 聂胜(博士) 留所工作
2019年6月 秦海明(博士) 中科院生态中心
2019年6月 王方建(博士) 北京 公司
2020年6月 陈世超(博士) 四维图新公司
2017年6月 王星东(博士后) 河南工业大学
2018年6月 骆社周(博士后) 福建农林大学