首页 > 专家库
管海燕

领域:高端装备制造产业 学校:南京信息工程大学职称:教授

遥感数据智能化处理、目标识别与提取、激光扫描数据、摄影测量...

具体了解该专家信息,请致电:027-87555799 邮箱 haizhi@uipplus.com

教育背景

2011/01-2014/02 加拿大滑铁卢大学 Geomatics专业 博士2006/09-2009/07 武汉大学摄影测量与遥感专业 博士2002/09-2005/07 武汉大学 地图学与地理信息系统专业 硕士

工作经历

2017/10- 南京信息工程大学 遥感与测绘工程学院 教授2015/07-2017/10 南京信息工程大学 地理与遥感学院 教授2014/09-2015/06 南京信息工程大学 地理与遥感学院 校聘教授2010/01-2010/12 加拿大滑铁卢大学 地理与环境科学系 博士后2005/07-2006/06 上海汉略信息技术有限公司 GIS软件开发工程师

项目课题经历

2016/01-2020/12 国家自然科学面上研究项目 “基于多光谱LiDAR数据的森林单木提取与树种分类方法研究” (主持) 2016/01-2016/12 人力资源与社会保障-留学人员科技活动项目择优资助 “车载与机载多源LiDAR数据融合的建筑物重建研究 ” (主持) 2015/09-2018/09 江苏省基础研究计划(自然科学基金)面上研究项目 “基于车载激光扫描数据的建筑物立面精细建模研究” (主持) 2016/01-2018/12 国家自然科学基金青年项目“基于张量投票的车载LiDAR数据的目标识别” (主持) 2015 教育部留学回国人员科研启动基金“基于车载激光扫描数据的道路提取算法研究及实现” (主持) 2018/01-2020/12 国家自然科学基金青年项目, 41701529,多源多平台三维点云的全要素语义模型构建(参与)

论文、成果、著作等

、期刊论文: Guan, H., W. Yan, Y. Yu, L. Zhong, D. Li, 2018. Robust Traffic-Sign Detection and Classification Using Mobile LiDAR Data with Digital Images, IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2018.2810143, Accepted. 潘锁艳,管海燕*,2018. 机载多光谱 LiDAR 数据的地物分类方法,测绘学报,47(2):198-207(EI,* 通信作者)。 Li, D., Y. Yu, H. Guan*, L. Zhong, 2017. Aeroplane detection in very-high-resolution images using deep feature representation and rotation-invariant Hough forests, International Journal of Remote Sensing, 38(23):6882-6893(IF =1.724, * 通信作者). Zhong, L., P. Liu, L. Wang, Z. Wei, H. Guan*, Y. Yu, 2016. A Combination of Stop-and-Go and Electro-Tricycle Laser Scanning Systems for Rural Cadastral Surveys, ISPRS International Journal of Geo-Information, 2016, 5, 160 ; doi:10.3390/ijgi5090160 (MDPI, IF = 1.502, * 通信作者). Guan, H., J. Li, S. Cao, Y. Yu, 2016. Use of mobile LiDAR in road information inventory: a review, International Journal of Image and Data Fusion, 7(3):219-242. Guan, H., Y. Yu, J. Li, P. Liu, 2016. Pole-Like Road Object Detection in Mobile LiDAR Data via Supervoxel and Bag-of-contextual-visual-words Representation, IEEE Geoscience and Remote Sensing Letters, 13(4):520-524 (IF=2.095). Yu, Y., J. Li, C. Wen, H. Guan, H. Luo, and C. Wang, 2016. Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data, ISPRS Journal of Photogrammetry and Remote Sensing, 113:106-123 (IF=3.132). Yu, Y., H. Guan*, D. Zai, Z. Ji, 2016. Rotation-and-Scale-Invariant Airplane Detection in High-Resolution Satellite Images Based on Deep-Hough-Forests, ISPRS Journal of Photogrammetry and Remote Sensing, 112:50-64 (IF=3.132,* 通信作者). Guan, H., Y. Yu, J. Li, Z. Ji, and Q. Zhang, 2016. Extraction of power-transmission lines from vehicle-borne lidar data, International Journal of Remote Sensing, 37(1):229-247 (IF=1.652). Yu, Y., H. Guan, and Z. Ji, 2015. Automated Detection of Urban Road Manhole Covers Using Mobile Laser Scanning Data, IEEE Transactions on Intelligence Transportation Systems, 16(6): 3258-3269 (IF=2.377). Yu, Y., H. Guan*, Z. Ji, 2015. Rotation-Invariant Object Detection in High-Resolution Satellite Imagery Using Superpixel based Deep-Hough-Forests, IEEE Geoscience and Remote Sensing Letters, 12(11):2183-2187 (IF=2.095,* 通信作者). Guan, H., Y. Yu, J. Li, J. Zheng, C. Wang, Q. Zhang, 2015. Using Mobile LiDAR Data for Rapidly Updating Road Markings, IEEE Transactions on Intelligence Transportation Systems, 16(5):2457-2465 (IF=2.377). Guan, H., Y. Yu, Z. Ji, J. Li, Q. Zhang, 2015. Deep Learning based Tree Classification Using Mobile LiDAR Data, Remote Sensing Letters, 11(6):864-873 (IF=1.573). Ji, Z., M. Song, H. Guan, Y. Yu, 2015. Accurate and robust registration of high-speed railway viaduct point clouds using closing conditions and external geometric constraints, ISPRS Journal of Photogrammetry & Remote Sensing, 106:55-67 (IF=3.132). Yu, Y., J. Li, H. Guan, and C. Wang, 2015. Automated extraction of urban road facilities using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 16(4):2167-2181 (IF=2.377). Yu, Y., J. Li, H. Guan, F. Jia, and C. Wang, 2015. Learning Hierarchical Features for Automated Extraction of Road Markings from 3D Mobile LiDAR Point Clouds. IEEE Journal of Selected Topics on Applied Earth Observations and Remote Sensing, 8(2):709-726 (IF=3.026). Guan, H., J. Li, Y. Yu, and C. Wang, 2015. Automatic Road Information Extraction Using Mobile Laser Scanning Data. IEEE Transactions on Intelligence Transportation Systems, 16(1):194-205 (IF=2.377). Yu, Y., J. Li, H. Guan, C. Wang, J. Yu, 2015. Semiautomated extraction of street light poles from mobile LiDAR point-clouds, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1374-1386 (IF=3.514). Yu, Y., J. Li, H. Guan, C. Wang, 2015. Three-dimensional object matching in mobile laser scanning point clouds, IEEE Geoscience and Remote Sensing Letters, 12(3): 492-496 (IF=2.095). Guan, H., J. Li, Y. Yu, and J. Yu, 2015. Iterative tensor voting method for crack detection using mobile laser scanning data. IEEE Transactions on Geoscience & Remote Sensing, 53(3): 1527-1537. (IF=3.514) Guan, H., Y. Yu, J. Li, F. Liu, H. Zhao, C. Wang, 2014. Automated Extraction of Manhole Covers Using Mobile LiDAR Data, Remote Sensing Letters, 5(12):1042-1050 (IF=1.573). Li, A., X. Cheng, H. Guan, T. Feng, and Z. Guan, 2014. Novel image registration method based on local structure constraints. IEEE Geoscience and Remote Sensing Letters, 11(9):1584-1588 (IF=2.095). Yu, Y., J. Li, H. Guan, and C. Wang, 2014. Automated detection of road manhole and sewer well covers from mobile LiDAR point clouds. IEEE Geoscience and Remote Sensing Letters, 11(9):1549-1553 (IF=2.095). Guan, H., J. Li, Y. Yu, C. Wang, M. Chapman, and B. Yang, 2014. Using mobile laser scanning data for automated extraction of road markings. ISPRS Journal of Photogrammetry & Remote Sensing, 87:93-107 (IF=3.132). Guan, H., J. Li, Y. Yu, and L. Zhong, 2014. DEM generation from lidar data in wooded mountain areas by cross-section-plane analysis. International Journal of Remote Sensing, 35(3): 927-948 (IF=1.652). Yu, Y., J. Li, J. Yu, H. Guan, and C. Wang, 2013. Pairwise 3D shape context for partial object matching and retrieval on mobile laser scanning data. IEEE Geoscience and Remote Sensing Letters, 11(5): 1019-1023 (IF=2.095). Yu, Y., J. Li, H. Guan, and C. Wang, 2013. A marked point process for automated building detection from LiDAR point-clouds. Remote Sensing Letters, 4(11):1127-1136 (IF=1.573). Guan, H., J. Li, L. Zhong, Y. Yu, and M. Chapman, 2013. Process virtualization of large-scale lidar data in a cloud computing environment. Computers & Geosciences, 60: 109-116 (IF=1.868). Guan, H., J. Li, M. Chapman, Z. Ji, and F. Deng, 2013. Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests. International Journal of Remote Sensing, 34(14): 5166–5186 (IF=1.652). Guan, H., Z. Ji, L. Zhong, J. Li, and Q. Ren, 2013. Partially supervised hierarchical classification for urban features from lidar data with aerial imagery. International Journal of Remote Sensing, 34 (1): 190-210 (IF=1.652). 谢瑞,程效军,管海燕, 2013. 机载激光扫描与航空影像的融合分类与精度分析,同济大学学报(自然科学版), 2013(4): 607-613 (EI). Ji, Z., H. Guan, Y. Wan, and M. Sun, 2012. 3D Reconstruction of Small-sized cultural relics based on laser scanning and close-range photogrammetry. International Journal of Digital Content Technology and Its Applications, 6(12):196-205 (EI). Guan, H., J. Li, and M. Chapman. 2011, Urban thematic mapping by integrating lidar point cloud with colour imagery. Geomatica, 65(4): 375-385 (EI). 邓非,徐国杰, 冯晨, 管海燕, 2010. LiDAR数据与航空影像结合的建筑物重建. 测绘信息与工程, 35(1) (核心期刊). 管海燕,张剑清, 邓非, 钟良. 2009. 面向对象的航空影像和LiDAR 融合分类. 武汉大学学报(信息科学版), 62:111-129, (EI). 管海燕,张剑清, 邓非, 钟良, 2007. 基于扫描线的城区ALS 数据滤波算法研究. 测绘通报, 12(2007): 9-13 (核心期刊). 管海燕,张剑清, 唐敏,2007. 工业零件视觉检测系统中标定设备的误差分析. 计算机工程与应用, 9(2007):109~193(核心期刊). 管海燕,郭建星, 2005. 几种常用图像边缘检测方法精度评定. 地理与空间信息技术, 28(2): 20-24 (核心期刊). 管海燕, 张剑清,郭建星, 2005. 一种高精度的工业钣金件图像直线提取算法. 地理信息, 3(2): 54-56 (核心期刊). 二、会议论文: Guan, H., S. Cao, Y. Yu, J. Li, N. Liu, P. Chen, Y. Li, 2016. Street-scene segmentation from mobilr laser scanning data, XXIII ISPRS Congress 2016, 12-19 July 2016, Prague, CZ. Guan, H., J. Li, Y. Yu, 2015. A Tensor Voting Approach to Dark Spot Detection in RADARSAT-1 Intensity Imagery, IEEE International Geoscience and Remote Sensing Symposium, 26-31 July, Milan, Italy (EI). Guan, H., J. Li, Y. Zhou, Y. Yu, C. Wang, C. Wen, 2014. Automatic extraction of power lines from mobile laser scanning data,IEEE International Geoscience and Remote Sensing Symposium, 13-18 July, Québec, Canada (EI). Guan, H., J. Li, and Y. Yu, 2013. Rapid update of road surface databases using mobile LiDAR, IEEE Proceedings on GiT4NDM, Mississauga, Ontario, Canada, October 9-11, 2013 (EI). Guan, H., J. Li, and Y. Yu, 2013. 3D urban mapping using a Trimble MX8 mobile laser scanning system: a validation study, MMT 2013, Taiwan, May 1-3, 2013. Guan, H., J. Yu, J. Li, and L. Luo, 2012. Random forests-based feature selection for land-use classification using lidar data and orthoimagery, ISPRS Achieves. Melbourne, Australia, Aug. 25 - Sept. 1, 2012. Guan, H., J. Li, and M. A. Chapman, 2011. Support vector machine for urban land-use classification using lidar point clouds and aerial imagery, International Symposium on LiDAR and RADAR mapping: Technologies & Applications. Hohai University, Nanjing, China, May 26-29, 2011. Guan, H., J. Zhang, Q. Hu, and L. Zhong, 2008. Line extraction of industrial parts based on least square template matching. 2008 International Congress on Image and Signal Processing (CIPS). Hainan, China, May 27-30, 2008 (EI). Guan, H., F. Deng, and J. Zhang, 2007. Building detection from LiDAR and images in urban areas. Proceedings of SPIE, Multispectral Image Processing and Pattern Recognition: Pattern Recognition and Computer Vision. Vol. 6788, Wuhan, China (EI).

专利、著作版权等

于永涛,李军,管海燕,王程,俞俊,基于车载移动激光扫描点云的路灯自动提取方法,类型:发明专利,专利号:ZL201310486495.9; 李军,管海燕,于永涛,基于车载激光扫描点云的道路斑马线自动提取方法,类型:发明专利,专利号:ZL201310483555.1。
声明:本站专家信息来源于各高校官网。