基本信息Personal Information
教授 博士生导师 硕士生导师
性别 : 男
毕业院校 : 法国IGN
学历 : 博士研究生
在职信息 : 在职
所在单位 : 地理与信息工程学院
联系方式 : QQ:124551951
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教师其他联系方式Other Contact Information
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个人简介Personal Profile
肖文,教授,博士生导师,国家地理信息系统工程技术研究中心地理环境感知研究所所长,地大百人,国家级青年人才项目入选者。获欧盟Erasmus mundus奖学金,硕士毕业于荷兰ITC,博士毕业于法国国家地理与林业信息研究院(IGN),并于瑞士ETH交流,曾任英国纽卡斯尔大学讲师。主要从事激光雷达测量,计算机视觉,三维感知、测图与重建(3DSMART)等方法研究及其在全息监测、数字孪生、智能交通、智慧城市等方面的应用。与国内、欧洲多国及北美相关专家学者和企业开展了合作研究,发表论文50余篇,其中SCI论文30余篇。现任国际数字地球学会激光雷达专业委员会委员,英国遥感与摄影测量协会(RSPSoc)协会理事,国际摄影测量与遥感协会(ISPRS)II/5工作组成员,任The Photogrammetric Record期刊编委。
欢迎电子信息(电信、计算机、物联网等)、地理信息、测绘遥感或其他专业感兴趣学生联系加入3DSMART团队。
最新动态:
2024:
10.团队研究生参加首届全球数智教育创新大赛获空天信息赛道决赛第四名(万元奖金)
9. 团队研究生带领本科生组队参加第八届全国激光雷达大会数据处理竞赛获一等奖两项
8. 团队研究生关于激光雷达三维目标检测网络PDANet发表于一区TGRS,代码已开源https://github.com/Geo3DSmart/PDANet
7. 团队研究生基于光学影像的多任务建筑物变化检测论文发表于一区JAG,代码已开源https://github.com/Geo3DSmart/CSCLNet
6. 团队本科生关于城市土地利用变化对内涝影响分析论文发表于JSTARS
5. 团队首届毕业生均就业于大型国企
4. 团队本科生在国际会议ISPRS TC I Symposium发表多源遥感植被冠层高度反演对比分析论文(口头报告)
3. 团队发布路侧感知数据集Int2sec: https://github.com/Geo3DSmart/Int2sec
2. 团队研究生发明专利获授权:一种基于距离与密度的点云背景自适应过滤方法
1. 团队研究生发表激光雷达点云单木分割IJDE一区论文,代码已开源https://github.com/Geo3DSmart/ITS-HFC
2023:
8. 团队学生在2023中国大学生GIS软件开发竞赛遥感应用组比赛中荣获二等奖
7. 团队研究生在学校第三十四届科技论文报告会中获评一二三等奖各一项
6. 团队学生荣获第七届全国激光雷达大会数据处理大赛一等奖
5. 实用新型专利:一种用于多源数据匹配的反射标靶装置
4. The Photogrammetric Record期刊编委,2023-2025
3. 团队基于点云的城市三维变化检测综述发表于JAG
2. 国家自然科学基金项目42201485:融合多测站三维激光雷达的高精度智能路侧感知方法研究
1. 专刊CFP: Remote Sensing Special Issue "Lidar Sensing for 3D Digital Twins", ddl 15 Dec 2023. https://www.mdpi.com/journal/remotesensing/special_issues/035R93WE4E
论文:
Google Scholar: https://scholar.google.com/citations?hl=en&user=g8db8KAAAAAJ
ResearchGate: https://www.researchgate.net/profile/Wen-Xiao-16
近年来发表论文:
M. Tang, D. Yu, Q. Hu, W. Dai and W. Xiao*, PDANet: Point Distribution Awareness for 3-D Object Detection From LiDAR Point Clouds, IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-15, 2024
Xiao, W., Cao, H*., Lei, Y., Zhu, Q. and Chen, N. Cross-temporal and spatial information fusion for multi-task building change detection using multi-temporal optical imagery. International Journal of Applied Earth Observation and Geoinformation, 132, p.104075, 2024.
Y. Lei, H. Cao, X. Zhou, J. Mills and W. Xiao*, Impact of Land Use/Land Cover Changes on Urban Flooding: A Case Study of the Greater Bay Area, China, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 13261-13275, 2024
Zhang C, Song C, Zaforemska A, Zhang J, Gaulton R, Dai W, Xiao W*. Individual Tree Segmentation from UAS Lidar Data based on Hierarchical Filtering and Clustering. International Journal of Digital Earth. 2024.
Y Ma, Y Shen, G Shen, J Wang, W Xiao, H He, C Hu, K Qin. STEPSBI: Quick spatiotemporal fusion with coarse- and fine-resolution scale transformation errors and pixel-based synthesis base image pair. ISPRS Journal of Photogrammetry and Remote Sensing. 2023
Chang Y, Xiao W, Coifman B. Using spatiotemporal stacks for precise vehicle tracking from roadside 3D LiDAR data. Transportation research part C: emerging technologies. 2023;154:104280.
Shen Y, Xiao Z, Wang Y, Xiao W, Yao L, Zhou C. Impacts of agricultural soil NOx emissions on O3 over Mainland China. Journal of Geophysical Research: Atmospheres. 2023;128(4)
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, 2023.
Xiao W, Cao H, Tang M*, Zhang Z, Chen N. 3D urban object change detection from aerial and terrestrial point clouds: a review. International Journal of Applied Earth Observation and Geoinformation 2023.
Y Shen, Z Xiao, Y Wang, L Yao, Wen Xiao*. Multisource Remote Sensing Based Estimation of Soil NOx Emissions From Fertilized Cropland at High-Resolution: Spatio-Temporal Patterns and Impacts. Journal of Geophysical Research Atmospheres 127(20). 2022
W Dai, H Kan, R Tan, B Yang, Q Guan, N Zhu, W Xiao, Z Dong. Multisource forest point cloud registration with semantic-guided keypoints and robust RANSAC mechanisms. International Journal of Applied Earth Observation and Geoinformation 115, 2022
K. Zhang#, L Ye, W Xiao#, Y Sheng, S Zhang, X Tao, Y Zhou, "A Dual Attention Neural Network for Airborne LiDAR Point Cloud Semantic Segmentation," IEEE Transactions on Geoscience and Remote Sensing, 2022, doi: 10.1109/TGRS.2022.3201902.