激光雷达遥感，三维数字重建，数字城市，植被遥感

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测绘、计算机、地学

070503-地图学与地理信息系统
081602-摄影测量与遥感

激光雷达遥感
地物三维数字重建
植被遥感

1997-09--2000-07   北京大学   理学硕士
1993-09--1997-07   北京大学   理学学士
1992-09--1993-07   河南信阳陆军学院   预备役军官

   

2020-03~现在, 中国科学院空天信息创新研究院, 副研究员
2013-09~2020-03,中国科学院遥感与数字地球研究所, 副研究员
2010-03~2013-09,中科院对地观测与数字地球科学中心, 副研究员
2006-01~2010-03,中科院光电研究院, 副研究员
2000-07~2005-12,中国遥感卫星地面站, 研究实习员2000、助理研究员2001、副研究员2003

   

（1） 超特高压输电线路激光雷达巡检关键技术与应用, 二等奖, 省级, 2019
（2） 星机地激光雷达数据处理技术与应用, 二等奖, 部委级, 2018
（3） 多平台激光雷达数据定量化关键技术与应用示范., 二等奖, 省级, 2018
（4） 遥感考古与数字遗产保护前沿技术及应用, 二等奖, 部委级, 2017

[1] 习晓环. 基于地表模型的星载激光雷达脚点精确定位方法. CN 109633601 B, 2023-06-13.
[2] 王成, 王子家, 聂胜, 习晓环. 一种基于空间分布去噪的水面光子点云提取方法. CN: CN115453558A, 2022-12-09.
[3] 王成, 劳洁英, 聂胜, 习晓环, 黎东. 一种星载激光光斑影像几何参数的提取方法及系统. CN: CN115330847A, 2022-11-11.
[4] 王成, 李雪松, 习晓环. 一种从机载LiDAR数据自动提取电塔点云的方法. CN: CN107273902B, 2019-10-18.
[5] 王成, 习晓环, 刘洋, 聂胜. 基于杆塔特征点的电力巡线LiDAR数据自动配准方法. CN: CN109872352A, 2019-06-11.
[6] 王成, 陈世超, 习晓环, 聂胜. 一种基于机载LIDAR点云数据的杆塔自动化建模方法. CN: CN109872384A, 2019-06-11.
[7] 王成, 曹迪, 习晓环, 聂胜. 基于LiDAR点云的电力线快速分层提取方法. CN: CN109829199A, 2019-05-31.
[8] 王成, 聂胜, 习晓环. 一种星载激光雷达树高提取方法. CN: CN105866792B, 2019-04-26.

激光雷达遥感导论， 高等教育出版社，2022

星载激光雷达数据处理与应用，科学出版社，2015

[1] 李宏菲, 聂胜, 习晓环, 王宏涛, 张合兵, 王成. 基于ICESat-2/ATLAS和特征参数的森林地上生物量反演. 激光杂志. 2023, 44(7): 62-67, http://lib.cqvip.com/Qikan/Article/Detail?id=7110281870.
[2] Duan, Jingjing, Wang, Hongtao, Wang, Cheng, Nie, Sheng, Yang, Xuebo, Xi, Xiaohuan. Denoising and classification of urban ICESat-2 photon data fused with Sentinel-2 spectral images. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2023, 16(2): 4346-4367, http://dx.doi.org/10.1080/17538947.2023.2270513.
[3] Lao, Jieying, Wang, Cheng, Nie, Sheng, Xi, Xiaohuan, Long, Hui, Feng, Baokun, Wang, Zijia. A new denoising method for photon-counting LiDAR data with different surface types and observation conditions. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2023, 16(1): 1551-1567, http://dx.doi.org/10.1080/17538947.2023.2203952.
[4] Wang, Zijia, Nie, Sheng, Xi, Xiaohuan, Wang, Cheng, Lao, Jieying, Yang, Zhixiang. A methodological framework for specular return removal from photon-counting LiDAR data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2023, 122: http://dx.doi.org/10.1016/j.jag.2023.103387.
[5] Sun, Yue, Nie, Sheng, Li, Guoyuan, Huang, Xingzhao, Liu, Zhao, Wang, Cheng, Xi, Xiaohuan, Yu, Jianan. Evaluation of the performance of GaoFen-7 laser altimeter data for ground elevation retrieval over vegetated areas. REMOTE SENSING LETTERS[J]. 2022, 13(10): 991-1001, [6] Wang, Jingru, Wang, Cheng, Xi, Xiaohuan, Du, Meng, Wang, Pu, Nie, Sheng. Segmentation of the communication tower and its accessory equipment based on geometrical shape context from 3D point cloud. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2022, 15(1): 1547-1566, https://doaj.org/article/859cd073bbc44e119d9ec0eb644c5506.
[7] Peng, Shuwen, Xi, Xiaohuan, Wang, Cheng, Xie, Rongchang, Wang, Pu, Tan, Hongwu. Point-Based Multilevel Domain Adaptation for Point Cloud Segmentation. IEEEGEOSCIENCEANDREMOTESENSINGLETTERS[J]. 2022, 19: [8] Lao, Jieying, Wang, Cheng, Nie, Sheng, Xi, Xiaohuan, Wang, Jinliang. Monitoring and Analysis of Water Level Changes in Mekong River from ICESat-2 Spaceborne Laser Altimetry. WATER[J]. 2022, 14(10): http://dx.doi.org/10.3390/w14101613.
[9] Yang, Xuebo, Wang, Yingjie, Yin, Tiangang, Wang, Cheng, Lauret, Nicolas, Regaieg, Omar, Xi, Xiaohuan, GastelluEtchegorry, Jean Philippe. Comprehensive LiDAR simulation with efficient physically-based DART-Lux model (I): Theory, novelty, and consistency validation. REMOTE SENSING OF ENVIRONMENT[J]. 2022, 272: http://dx.doi.org/10.1016/j.rse.2022.112952.
[10] 梁磊, 习晓环, 王成, 王金亮, 黄友菊. 基于B/S架构的激光雷达电力巡线可视化管理与分析系统. 中国科学院大学学报[J]. 2022, 39(2): 201-207, http://lib.cqvip.com/Qikan/Article/Detail?id=7106735460.
[11] Yu, Jianan, Nie, Sheng, Liu, Wenjie, Zhu, Xiaoxiao, Lu, Dajin, Wu, Wenyin, Sun, Yue. Accuracy Assessment of ICESat-2 Ground Elevation and Canopy Height Estimates in Mangroves. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 19: http://dx.doi.org/10.1109/LGRS.2021.3107440.
[12] Shi, Juncheng, Wang, Cheng, Wang, Jinliang, Xi, Xiaohuan, Yang, Xuebo, Ding, Xue. Study on the LAI and FPAR inversion of maize from airborne LiDAR and hyperspectral data. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2022, 43(13): 4793-4809, [13] Xiaoxiao Zhu, Sheng Nie, Cheng Wang, Xiaohuan Xi, Jieying Lao, Dong Li. Consistency analysis of forest height retrievals between GEDI and ICESat-2. REMOTE SENSING OF ENVIRONMENT[J]. 2022, 281: http://dx.doi.org/10.1016/j.rse.2022.113244.
[14] Wang, Yantian, Xi, Xiaohuan, Wang, Cheng, Yang, Xuebo, Wang, Pu, Nie, Sheng, Du, Meng. A Novel Method Based on Kernel Density for Estimating Crown Base Height Using UAV-Borne LiDAR Data. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 19: http://dx.doi.org/10.1109/LGRS.2022.3171316.
[15] Lao, Jieying, Wang, Cheng, Zhu, Xiaoxiao, Xi, Xiaohuan, Nie, Sheng, Wang, Jinliang, Cheng, Feng, Zhou, Guoqing. Retrieving building height in urban areas using ICESat-2 photon-counting LiDAR data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2021, 104: http://dx.doi.org/10.1016/j.jag.2021.102596.
[16] Luo, Shezhou, Liu, Weiwei, Zhang, Yaqian, Wang, Cheng, Xi, Xiaohuan, Nie, Sheng, Ma, Dan, Lin, Yi, Zhou, Guoqing. Maize and soybean heights estimation from unmanned aerial vehicle (UAV) LiDAR data. COMPUTERS AND ELECTRONICS IN AGRICULTURE[J]. 2021, 182: http://dx.doi.org/10.1016/j.compag.2021.106005.
[17] 习晓环. Point-Based Multilevel Domain Adaptation for Point Cloud Segmentation. IEEE Geoscience and Remote Sensing Letters. 2021, [18] 杜伟, 刘洋, 杨国柱, 王和平, 李致东, 李俊磊, 习晓环. 输电通道机载激光点云多级配准研究. 遥感技术与应用[J]. 2021, 36(6): 1294-1298, http://lib.cqvip.com/Qikan/Article/Detail?id=7106801194.
[19] Yang, Xuebo, Wang, Cheng, Xi, Xiaohuan, Wang, Yingjie, Zhang, Ying, Zhou, Guoqing. Footprint Size Design of Large-Footprint Full-Waveform LiDAR for Forest and Topography Applications: A Theoretical Study. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2021, 59(11): 9745-9757, [20] Liang Guo, Xiaohuan Xi, Weijun Yang, Lei Liang. Monitoring Land Use/Cover Change Using Remotely Sensed Data in Guangzhou of China. SUSTAINABILITY[J]. 2021, 13(5): https://doaj.org/article/bb8c42856eb34bba84846544cef8ea72.
[21] Zhu, Xiaoxiao, Nie, Sheng, Wang, Cheng, Xi, Xiaohuan, Wang, Jinsong, Li, Dong, Zhou, Hangyu. A Noise Removal Algorithm Based on OPTICS for Photon-Counting LiDAR Data. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2021, 18(8): 1471-1475, http://dx.doi.org/10.1109/LGRS.2020.3003191.
[22] 朱笑笑, 王成, 习晓环, 聂胜, 杨学博, 黎东. ICESat-2星载光子计数激光雷达数据处理与应用研究进展. 红外与激光工程[J]. 2020, 49(11): 68-77, http://lib.cqvip.com/Qikan/Article/Detail?id=7103572031.
[23] Shi, Juncheng, Wang, Cheng, Xi, Xiaohuan, Yang, Xuebo, Wang, Jinliang, Ding, Xue. Retrieving fPAR of maize canopy using artificial neural networks with airborne LiDAR and hyperspectral data. REMOTE SENSING LETTERS[J]. 2020, 11(11): 1002-1011, [24] 习晓环. A Comparative Study of Water Indexes and Image Classification Algorithms for Mapping Inland Surface Water Bodies Using Landsat Imagery. Remote Sensing. 2020, [25] Wang, Cheng, Yang, Xuebo, Xi, Xiaohuan, Zhang, Hebing, Chen, Shichao, Peng, Shuwen, Zhu, Xiaoxiao. Evaluation of Footprint Horizontal Geolocation Accuracy of Spaceborne Full-Waveform LiDAR Based on Digital Surface Model. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2020, 13: 2135-2144, https://doaj.org/article/91d261c815a442bebaad31e08d066957.
[26] Lao, Jieying, Wang, Cheng, Wang, Jinliang, Pan, Feifei, Xi, Xiaohuan, Liang, Lei. Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies. REMOTE SENSING[J]. 2020, 12(10): https://doaj.org/article/d9b74a8483354fc5b6ec5919a99581a5.
[27] 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. 测绘科学[J]. 2020, 45(5): 106-111+125, http://lib.cqvip.com/Qikan/Article/Detail?id=7101997299.
[28] Zhu, Xiaoxiao, Nie, Sheng, Wang, Cheng, Xi, Xiaohuan, Li, Dong, Li, Guoyuan, Wang, Pu, Cao, Di, Yang, Xuebo. Estimating Terrain Slope from ICESat-2 Data in Forest Environments. REMOTE SENSING[J]. 2020, 12(20): https://doaj.org/article/8337f6f34d2e44afa88c381eebd5a42b.
[29] Wang, Cheng, Luo, Shezhou, Xi, Xiaohuan, Nie, Sheng, Ma, Dan, Huang, Youju. Influence of voxel size on forest canopy height estimates using full-waveform airborne LiDAR data. FOREST ECOSYSTEMS[J]. 2020, 7(1): 392-403, http://lib.cqvip.com/Qikan/Article/Detail?id=7102952936.
[30] 张苏, 齐立忠, 韩文军, 朱笑笑, 习晓环, 王成, 王濮, 聂胜. 基于无人机激光点云的树障检测与砍伐树木数量估算. 中国科学院大学学报[J]. 2020, 37(6): 760-766, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=ZKYB202006006&v=MjY2MzBab0ZDdmdVYjdBUHliU2JMRzRITkhNcVk5RllvUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3VmWnU=.
[31] 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. ECOLOGICAL INDICATORS[J]. 2020, 114: http://dx.doi.org/10.1016/j.ecolind.2020.106287.
[32] Zhao, Haipeng, Xi, Xiaohuan, Wang, Cheng, Pan, Feifei. Ground Surface Recognition at Voxel Scale From Mobile Laser Scanning Data in Urban Environment. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2020, 17(2): 317-321, http://dx.doi.org/10.1109/LGRS.2019.2919297.
[33] 习晓环. 激光扫描数据的密集噪声剔除方法研究. 激光与电子学进展. 2019, [34] Yang, Xuebo, Wang, Cheng, Pan, Feifei, Nie, Sheng, Xi, Xiaohuan, Luo, Shezhou. Retrieving leaf area index in discontinuous forest using ICESat/GLAS full-waveform data based on gap fraction model. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING[J]. 2019, 148: 54-62, http://dx.doi.org/10.1016/j.isprsjprs.2018.12.010.
[35] Wang, Cheng, Zhu, Xiaoxiao, Nie, Sheng, Xi, Xiaohuan, Li, Dong, Zheng, Wenwu, Chen, Shichao. Ground elevation accuracy verification of ICESat-2 data: a case study in Alaska, USA. OPTICS EXPRESS[J]. 2019, 27(26): 38168-38179, http://dx.doi.org/10.1364/OE.27.038168.
[36] 习晓环. Mapping forest canopy height using airborne photon-counting LiDAR data and Landsat 8 data. International Journal of Applied Earth Observation and Geoinformation. 2019, [37] 习晓环. Systematic Comparison of Power Corridor Classification Methods from ALS Point Cloud. Remote Sensing. 2019, [38] 习晓环. 融合AHP和GIS技术的自然遗产地边界界定方法研究. 遥感技术与应用. 2019, [39] Nie, Sheng, Wang, Cheng, Xi, Xiaohuan, Luo, Shezhou, Zhu, Xiaoxiao, Li, Guoyuan, Liu, Hua, Tian, Jinyan, Zhang, Su. Assessing the Impacts of Various Factors on Treetop Detection Using LiDAR-Derived Canopy Height Models. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2019, 57(12): 10099-10115, [40] 王濮, 邢艳秋, 王成, 习晓环. 一种基于图割的机载LiDAR单木识别方法. 中国科学院大学学报[J]. 2019, 36(3): 385-391, http://lib.cqvip.com/Qikan/Article/Detail?id=7001938973.
[41] Qin, Haiming, Wang, Cheng, Zhao, Kaiguang, Xi, Xiaohuan. Estimation of the fraction of absorbed photosynthetically active radiation (fPAR) in maize canopies using LiDAR data and hyperspectral imagery. PLOS ONE[J]. 2018, 13(5): https://doaj.org/article/79b72738ab094a70b6d87a220145c887.
[42] 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. 测绘学报[J]. 2018, 47(2): 153-160, http://lib.cqvip.com/Qikan/Article/Detail?id=674538225.
[43] Nie, Sheng, Wang, Cheng, Xi, Xiaohuan, Luo, Shezhou, Li, Guoyuan, Tian, Jinyan, Wang, Hongtao. Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data. OPTICS EXPRESS[J]. 2018, 26(10): A520-A540, https://www.webofscience.com/wos/woscc/full-record/WOS:000432457600013.
[44] 习晓环. 决策树约束的建筑点云提取方法研究. 激光与光电子学报. 2018, [45] 李庭坚, 张建刚, 徐云鹏, 谭弘武, 习晓环. 机载LiDAR在数字电网中的适用性分析. 测绘地理信息[J]. 2018, 43(1): 86-88, http://lib.cqvip.com/Qikan/Article/Detail?id=674548558.
[46] 习晓环. Evaluation of Climate Change Impacts on Wetland Vegetation in the Dunhuang Yangguan National Natural Reserve in Northwest China Using Landsat Derived NDVI. Remote Sensing. 2018, [47] 习晓环. 基于车载激光扫描数据的城区道路自动提取研究. 中国科学院大学学报. 2018, [48] Luo, Shezhou, Chen, Jing M, Wang, Cheng, Gonsamo, Alemu, Xi, Xiaohuan, Lin, Yi, Qian, Mingjie, Peng, Dailiang, Nie, Sheng, Qin, Haiming. Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2018, 11(1): 300-310, http://dx.doi.org/10.1109/JSTARS.2017.2765890.
[49] 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. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2018, 15(7): 1120-1124, [50] Nie Sheng, Wang Cheng, Xi Xiaohuan, Luo Shezhou, Li Shihua, Tian Jianlin. Estimating the height of wetland vegetation using airborne discrete-return LiDAR data. OPTIK - INTERNATIONAL JOURNAL FOR LIGHT AND ELECTRON OPTICS[J]. 2018, 154: 267-274, http://dx.doi.org/10.1016/j.ijleo.2017.10.016.
[51] 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. IEEETRANSACTIONSONGEOSCIENCEANDREMOTESENSING[J]. 2018, 56(1): 217-227, [52] 习晓环. 机载激光雷达数据快速提取电力线研究. 测绘科学. 2017, [53] 黎东, 王成, 习晓环, 左正立, 朱精果. 共面约束的机载LiDAR IMU安置角误差自动检校方法. 测绘科学[J]. 2017, 42(9): 98-103, https://d.wanfangdata.com.cn/periodical/chkx201709018.
[54] 王濮, 邢艳秋, 王成, 习晓环, 骆社周. 机载LiDAR数据提取山区道路方法研究. 遥感技术与应用[J]. 2017, 32(5): 851-857, https://d.wanfangdata.com.cn/periodical/ygjsyyy201705009.
[55] Qin, Haiming, Wang, Cheng, Pan, Feifei, Lin, Yi, Xi, Xiaohuan, Luo, Shezhou. Estimation of FPAR and FPAR profile for maize canopies using airborne LiDAR. ECOLOGICAL INDICATORS[J]. 2017, 83: 53-61, http://dx.doi.org/10.1016/j.ecolind.2017.07.044.
[56] Nie, Sheng, Wang, Cheng, Dong, Pinliang, Xi, Xiaohuan, Luo, Shezhou, Qin, Haiming. A revised progressive TIN densification for filtering airborne LiDAR data. MEASUREMENT[J]. 2017, 104: 70-77, http://dx.doi.org/10.1016/j.measurement.2017.03.007.
[57] 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. 红外与毫米波学报[J]. 2017, 36(6): 749-755, http://lib.cqvip.com/Qikan/Article/Detail?id=674194416.
[58] 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. ECOLOGICAL INDICATORS[J]. 2017, 78: 221-228, http://dx.doi.org/10.1016/j.ecolind.2017.02.045.
[59] 习晓环. Estimation of coniferous forest aboveground biomass with airborne small-footprint full-waveform LiDAR data. Optics Express. 2017, [60] 葛莉, 习晓环, 王成, . ICESat-1/GLAS数据湖泊水位监测研究进展. 遥感技术与应用[J]. 2017, 32(1): 14-19, https://d.wanfangdata.com.cn/periodical/ygjsyyy201701002.
[61] 习晓环. 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, [62] 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. ECOLOGICAL INDICATORS[J]. 2017, 73: 378-387, http://dx.doi.org/10.1016/j.ecolind.2016.10.001.
[63] Haiming Qin, Cheng Wang, Xiaohuan Xi, Jianlin Tian, Guoqing Zhou. Simulating the Effects of the Airborne Lidar Scanning Angle, Flying Altitude, and Pulse Density for Forest Foliage Profile Retrieval. APPLIED SCIENCES[J]. 2017, 7(7): https://doaj.org/article/5d5c40faebb443ba9280746b446ffd71.
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[70] 王成, 习晓环, 聂胜, 夏少波, 万怡平, 骆社周. 星载激光雷达GLAS与TM光学遥感联合反演森林叶面积指数. 红外与毫米波学报[J]. 2015, 34(2): 243-249, http://lib.cqvip.com/Qikan/Article/Detail?id=664588760.
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[73] 杨娅楠, 习晓环, 王成, 王金亮, 曾鸿程. 基于缨帽变换与匹配滤波的大熊猫生境影像分类. 中国科学院大学学报[J]. 2015, 32(6): 797-802, https://d.wanfangdata.com.cn/periodical/zgkxyyjsyxb201506011.
[74] 王和平, 夏少波, 谭弘武, 王成, 习晓环. 电力巡线中机载激光点云数据处理的关键技术. 地理空间信息[J]. 2015, 13(5): 59-62, http://lib.cqvip.com/Qikan/Article/Detail?id=666443099.
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（1） 星载激光雷达数据处理与应用, Space-borne LiDAR data processing and Application, 科学出版社, 2015-02, 第 2 作者
（2） 天宫一号光学遥感图集, 科学出版社, 2015-04, 第 2 作者
（3） 激光雷达遥感导论, 高等教育出版社, 2022-01, 第 2 作者

   

（ 1 ） 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, 负责人, 国家任务, 2013-01--2016-12
（ 2 ）  航空遥感试验及激光雷达地表参数反演, 参与, 国家任务, 2009-08--2014-08
（ 3 ） 全球生物量数据的分析与验证, 参与, 国家任务, 2012-10--2013-12
（ 4 ） 机载三维激光雷达飞行动态检校, 负责人, 国家任务, 2016-06--2018-12
（ 5 ） 机载激光雷达森林叶面积指数垂直分解方法研究, 参与, 国家任务, 2014-01--2017-12
（ 6 ） 机载双频激光雷达地理信息系统软件研制, 参与, 国家任务, 2013-09--2017-12
（ 7 ） 大光斑激光雷达地形校正方法研究, 负责人, 其他任务, 2015-01--2016-06
（ 8 ） 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, 负责人, 国家任务, 2019-01--2022-12
（ 9 ） 全球森林高度和生物量反演, 负责人, 国家任务, 2017-07--2021-12
（ 10 ） 高分七号卫星激光数据处理及特征参数提取技术-大气校正, 负责人, 国家任务, 2018-01--2019-12
（ 11 ） 广西森林垂直结构参数及生物量反演方法研究, 负责人, 地方任务, 2020-05--2024-12
（ 12 ） 基于星载光子计数激光雷达的城市建筑高度提取与制图——以北京市为例, 负责人, 国家任务, 2023-01--2026-12

（1）图像边缘检测算法在点云数据提取建筑边界中的应用   2016IGARSS   2016-07-10
（2）激光雷达数据处理与应用软件介绍   第三届全国激光雷达大会   2015-10-23
（3）Ta Keo Temple Reconstruction Based on Terrestrial Laser Scanning Technology   第25届CIPA国际会议   Xi Xiaohuan   2015-08-01
（4）Boundary regularization and building reconstruction based on terrestrial laser scanning data   2013年国际地球科学与遥感大会   Wang Fangjian, Xi Xiaohuan, Wang Cheng, Xiao Yong   2013-07-21
（5）Boundary regularization and building reconstruction based on terrestrial laser scanning data   2013国际地球科学与遥感大会   Wang Fangjian, Xi Xiaohuan, Wang Cheng, Xiao Yong   2013-07-21
（6）Application Of Space Technology In World Heritages Monitoring And Protection   第34届国际环境遥感大会   Xi Xiaohuan, Wang Cheng, Luo Shezhou, Wang Xinyuan   2011-04-10

已指导学生

李铁乔  硕士研究生  070503-地图学与地理信息系统  

万怡平  硕士研究生  081002-信号与信息处理  

王平华  硕士研究生  085215-测绘工程  

葛莉  硕士研究生  085215-测绘工程  

赵海鹏  硕士研究生  085215-测绘工程  

雷钊  硕士研究生  085215-测绘工程  

刘洋  硕士研究生  070503-地图学与地理信息系统  

彭淑雯  硕士研究生  070503-地图学与地理信息系统  

梁磊  硕士研究生  070503-地图学与地理信息系统  

现指导学生

王子家  硕士研究生  085700-资源与环境  

乔怿雅  硕士研究生  070503-地图学与地理信息系统  

吴晓阳  硕士研究生  070503-地图学与地理信息系统