代文霞，工学博士，芬兰地球空间研究所（Finnish Geospatial Research Institute，FGI）联合培养博士，2020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，师从杨必胜教授。2020年9月以“地大学者”青年优秀人才引进至中国地质大学（武汉）地理与信息工程学院空间信息系工作。在摄影测量与遥感领域TOP期刊ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Digital Earth, Remote Sensing以及国内测绘遥感领域等期刊发表学术论文11篇；主持国家自然科学基金青年项目1项；参与国家自然科学基金重点项目、国家支撑计划、国家重点研发计划重点专项项目等4项；获2021年湖北省博士后创新研究岗位； 担任ISPRS Journal of Photogrammetry and Remote Sensing，Journal of Selected Topics in Applied Earth Observations and Remote Sensing，International Journal of Remote Sensing，IEEE Access，ISPRS International Journal of Geo-Information等期刊审稿人。 研究兴趣：激光雷达林业遥感、森林碳储量监测、三维点云数据智能处理与应用等。主要研究内容有不同遥感平台包括地基、背包、无人机等多平台激光点云融合，森林样地单木提取及结构参数估计，森林资源及生态监测，城市绿化建设，单木结构三维建模，植被生长预测等。谷歌学术：https://scholar.google.com/citations?user=Pg3xGSUAAAAJ&hl=en&oi=aoResearch Gate: https://www.researchgate.net/profile/Wenxia_Dai 目前研究生招生专业与方向：（1）学术型硕士：测绘科学与技术（一级学科）- 地图制图学与地理信息工程（二级学科）（2）专业型硕士：资源与环境（不限专业方向）邮箱：daiwenxia@cug.edu.cn;523138163@qq.com;中国地质大学（武汉）地理与信息工程学院接收推免生公告及HPSCIL实验室招生信息：https://mp.weixin.qq.com/s/HA_4_TS3xljssSw3v5pPwQ 欢迎关注高性能空间计算智能研究中心微信公众号：HPSCIL@CUG点云公开数据集（Benchmark）：1.地面站激光点云配准公开数据集（WHU-TLS benchmark dataset by Wuhan University）：http://3s.whu.edu.cn/ybs/en/benchmark.htm?from=singlemessage&isappinstalled=02.地面站激光点云树木提取（International TLS benchmarking project by the Finish Geospatial Research Institute）：https://laserscanning.fi/benchmarking-of-terrestrial-laser-scanning-methods-test-datasets-available/ 科研项目1.国家自然科学基金青年科学基金项目，联合多源遥感数据的森林生物量精准估计方法研究，30万，2022.01-2024.12，主持；2.中央高校基本科研业务费专项资金项目，20万，2020.09-2023.08，主持；3.2021年湖北省博士后创新研究岗位，6万，2021.09-2023.09，负责人；4.横向项目，无人机遥感估测森林生物量和蓄积量研究项目（广西壮族自治区自然资源遥感院），2020.01-2021.12，参与；5.国家重点研发计划重点专项项目，国产空地全息三维遥感系统研制及产业化，2016.07 - 2020.06，参与；6.国家自然科学基金重点项目，广义影像点云构建与多细节层次建模，2016.01-2019.12，参与.期刊论文1.Wenxia Dai, Yiheng Jiang, Wen Zeng*, Ruibo Chen, Yongyang Xu, Ningning Zhu, Wen Xiao, Zhen Dong, and Qingfeng Guan. "MDC-Net: a multi-directional constrained and prior assisted neural network for wood and leaf separation from terrestrial laser scanning." International Journal of Digital Earth 16, no. 1 (2023): 1224-1245.2.Wenxia Dai, Hongyang Kan, Renchun Tan, Bisheng Yang*, Qingfeng Guan, Ningning Zhu, Wen Xiao, and Zhen Dong. "Multisource forest point cloud registration with semantic-guided keypoints and robust RANSAC mechanisms." International Journal of Applied Earth Observation and Geoinformation, 115 (2022): 103105.3.Wenxia Dai, Qingfeng Guan*, Shangshu Cai, Rundong Liu, Ruibo Chen, Qing Liu, Chao Chen, and Zhen Dong. "A Comparison of the Performances of Unmanned-Aerial-Vehicle (UAV) and Terrestrial Laser Scanning for Forest Plot Canopy Cover Estimation in Pinus massoniana Forests." Remote Sensing, 14, no. 5 (2022): 1188.4.Wenxia Dai, Bisheng Yang*, Zhen Dong, Ahmed Shaker. 2018. A new method for 3D individual tree extraction using multispectral airborne LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 144, 400-411.（SCI，影响因子7.319，中科院1区）.5.Wenxia Dai, Bisheng Yang*, Xinlian Liang, Zhen Dong, Ronggang Huang, Yunsheng Wang, Wuyan Li. 2019. Automated fusion of forest airborne and terrestrial point clouds through canopy density analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 156, 94-107.（SCI，影响因子7.319，中科院1区）.6.Wenxia Dai, Bisheng Yang*, Xinlian Liang, Zhen Dong, Ronggang Huang, Yunsheng Wang, Jiri Pyörälä, Antero Kukko. 2020. Fast Registration of Forest Terrestrial Laser Scans Using Keypoints Detected from Crowns and Stems. International Journal of Digital Earth, 13(12), 1585-1603. (SCI，中科院2区).7.Bisheng Yang, Wenxia Dai*, Zhen Dong, Yang Liu. 2016. Automatic forest mapping at individual tree levels from terrestrial laser scanning point clouds with a hierarchical minimum cut method. Remote Sensing, 8(5), 372. (SCI，中科院 2 区).8.Bisheng Yang, Zhen Dong, Gang Zhao, Wenxia Dai. 2015. Hierarchical extraction of urban objects from mobile laser scanning data. ISPRS Journal of Photogrammetry and Remote Sensing, 99, 45-57. （SCI，影响因子7.319，中科院1区）.9.Zhen Dong, Fuxun Liang, Bisheng Yang, Yusheng Xu, Yufu Zang, Jianping Li, Yuan Wang, Wenxia Dai, Hongchao Fan, Juha Hyyppä, Uwe Stillab. 2020. Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark. ISPRS Journal of Photogrammetry and Remote Sensing, 163, 327-342. （SCI，影响因子7.319，中科院1区）.10.Chi Chen, Bisheng Yang, Shuang Song, Mao Tian, Jianping Li, Wenxia Dai, Lina Fang. 2018. Calibrate multiple consumer RGB-D cameras for low-cost and efficient 3d indoor mapping. Remote Sensing, 10(2), 328. (SCI，中科院 2 区).11.Bisheng Yang, Ronggang Huang, Jianping Li, Mao Tian, Wenxia Dai, Ruofei Zhong. 2017. Automated reconstruction of building lods from airborne lidar point clouds using an improved morphological scale space. Remote Sensing, 9(1), 14. (SCI，中科院 2 区).12.Ronggang Huang, Bisheng Yang, Fuxun Liang, Wenxia Dai, Jianping Li, Mao Tian, Wenxue Xu. 2018. A top-down strategy for buildings extraction from complex urban scenes using airborne LiDAR point clouds. Infrared Physics & Technology, 92, 203-218. (SCI，中科院 3 区).13.林良彬，杨必胜， 代文霞，董震. 2015. 多视角林地地面激光点云自动化配准. 测绘地理信息, 40(6): 86-89.14.洪镇填， 杨必胜， 董震， 代文霞. 2015. 基于地面激光扫描的快速成图关键技术研究.地理信息世界, 22(3): 111-115.会议学术报告1.Wenxia Dai, “A Probabilistic-Based Framework for Automatic Co-registration of Terrestrial and Airborne Point Clouds in Forest Areas”, the European Geosciences Union (EGU) General Assembly 2019, 7-12 April 2019, Vienna, Austria. (Oral).2.Zhen Dong, Wenxia Dai, Bisheng Yang, Yang Liu, 2015. An extended Min-Cut approach for individual tree extraction. The 9th International Symposium on Mobile Mapping Technology, 9-11 December 2015, Sydney, Australia.3.代文霞，基于最小割的林区 TLS 点云数据单株树木提取， 2015 年精准林（农）业经营关键技术论坛，北京林业大学，中国，北京.