管海燕教授
姓　　名:
管海燕
出生年月:
1976年06月
性　　别:
女
导　　师:
博导
职　　称:
教授
职　　务:


最高学历:
双博士研究生
所属专业:
摄影测量与遥感
工作单位:
遥感与测绘工程学院
所属系部:
测绘工程系
毕业院校:
加拿大滑铁卢大学地理与环境科学系、武汉大学遥感信息工程学院
研究方向:
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
办公地点:
北辰楼211
邮　　箱:
guanhy.nj@nuist.edu.cn
主讲课程:
数字摄影测量、近景摄影测量、激光雷达原理与应用
主要研究领域:


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


学术兼职
IEEE 高级会员
美国摄影测量协会(ASPRS) 会员；

荣誉获奖
IEEE senior member；

2015年度《Deep Learning based Tree Classification Using Mobile LiDAR Data》获得Remote Sensing Letters Award最佳论文；
2016年度获IEEE Journal of Selected Topic in Applied Earth Observations and Remote Sensing 期刊最佳审稿人；
2016年度获Journal of Applied Remote Sensing 期刊最佳审稿人；
2017年度获“大仓科技领军人才”；
2017年度为 “江苏省双创团队”核心人员。
指导学生获奖：
2019年江苏省大学生创新创业计划项目“基于卷积神经网络的多光谱LIDAR地物分类研究” （校级），主持学生：陈雅婷等；
2018年江苏省南京信息工程大学优秀本科毕业论文《多光谱LIDAR的随机森林地物分类研究》三等奖，学生：姚文静；
2018年江苏省高校测绘本科生优秀毕业论文《多光谱LIDAR的随机森林地物分类研究》二等奖，学生：姚文静；
2017年江苏省优秀本科毕业论文《基于机载多光谱LiDAR数据的地物分类研究》二等奖，学生：潘锁艳；
2017年江苏省高校测绘本科生优秀毕业论文《基于机载多光谱LiDAR数据的地物分类研究》二等奖，学生：潘锁艳；
2017年江苏省南京信息工程大学优秀本科毕业论文《基于机载多光谱LiDAR数据的地物分类研究》一等奖，学生：潘锁艳；
2015年江苏省大学生创新创业计划项目“基于车载LiDAR的路面裂缝检测研究（项目编号：8Z）” （已结题）主持学生：成斌，刘楠 ；


近期主要论著
一、期刊论文：
景庄伟, 管海燕*, 臧玉府, 倪欢, 李迪龙, 于永涛, 2021. 基于深度学习的点云语义分割研究综述,计算机科学与探索, .(北大核心, * 通信作者)
景庄伟, 管海燕*, 彭代峰, 于永涛, 2021. 基于深度神经网络的图像语义分割研究综述,计算机工程, DOI：10.19678/j.issn.1000-3428.**. (北大核心,* 通信作者)
秦和娟, 管海燕*, 李迪龙, 2021. 利用张量投票的机载LiDAR点云道路骨架线提取,计算机工程与应用. (北大核心, * 通信作者)
Y. Ren, Y. Yu, and H. Guan, 2020. DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery, Remote Sensing, 2020, 12, 2866. (MDPI: SCI)
Y. Zang, R. Lindenbergh, B. Yang, H. Guan, 2020. Density-Adaptive and Geometry-Aware Registration of TLS Point Clouds Based on Coherent Point Drift, IEEE Geoscience and Remote Sensing Letters,vol. 17 , no.9 , pp.1628 – 1632, Sept. 2020.(IEEE: SCI)
D. Li, X. Shen, Y. Yu, H. Guan, H. Wang, D. Li, 2020. GGM-Net: Graph Geometric Moments Convolution Neural Network for Point Cloud Shape Classification, IEEE Access, 8, 124989-124998. (IEEE:SCI).
S. Pan, H. Guan*,Y. Yu, 2020. Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters, ISPRS Journal of Photogrammetry and Remote Sensing, 166(2020):241-254，(* 通信作者)
W. Yan, H. Guan*,L. Cao, Y. Yu, C. LI, and J. Lu, A Self-Adaptive Mean Shift Tree-Segmentation Method Using UAV LiDAR Data, Remote Sensing, 2020, 12,515 (* 通信作者)
Y. Yu, Y. Ren,H.Guan, D.Li, C. Yu, S. Jin, and L. Wang, 2020. Capsule feature pyramid network for building footprint extraction from high-resolution aerial imagery, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2020.**.
Y. Yu,H.Guan, D. Li, S. Jin, T. Chen, C. Wang, and J. Li, 2020.3-D feature matching for point cloud object extraction, IEEE Geoscience and Remote Sensing Letters, vol.17, no.2, 322-326, Feb.2020.
Y. Yu,H.Guan, D. Li, and C. Yu, 2020, A cascaded deep convolutional network for vehicle logo recognition from frontal and rear images of vehicles, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2019.**.
Y. Yu, H.Guan, D. Li, T. Gu, E. Tang, and A. Li, 2019. Orientation guided anchoring for geospatial object detection from remote sensing imagery, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 160, pp. 67-82, 2020.
Y. Yu, Y. Yuan,H. Guan, D. Li, and T. Gu, 2020.Aeroplane detection from high-resolution remotely sensed imagery using bag-of-visual-words based Hough forests, International Journal of Remote Sensing, doi: 10.1080/**.2019.**, vol. 41, no. 1, pp. 114-131, 2020.
Y. Yu,H.Guan, D. Li, T. Gu, L. Wang, L. Ma, and J. Li, 2019. A hybrid capsule network for land cover classification using multispectral LiDAR data, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2019.**.
Y. Yu, H.Guan, D. Li, C. Jin, C. Wang, and J. Li, 2019. Road manhole cover delineation using mobile laser scanning point cloud data, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2019.**.
Guan,H., Y. Yu, D. Peng, Y. Zang, J. Lu, A. Li, and J. Li, 2019. A Convolutional Capsule Network for Traffic-Sign Recognition Using Mobile LiDAR Data with Digital Images, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2019.**.
S. Cao, Y. Yu, H.Guan*, D. Peng, and W. Yan, 2019. Affine-Function Transformation-Based Object Matching for Vehicle Detection from Unmanned Aerial Vehicle Imagery, Remote Sensing, 2019, 11, 1708. (* 通信作者)
D. Peng, Y. Zhang, and H.Guan, 2019. End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++, Remote Sensing, 2019,11,1382.
Y. Zang, B. Yang, J. Li, and H.Guan, 2019. An Accurate TLS and UAV Image Point Clouds Registration Method for Deformation Detection of Chaotic Hillside Areas. Remote Sensing, 2019,11,647.
Y. Yu, T. Gu, H.Guan, D. Li, and S. Jin, 2019.Vehicle detection from high-resolution remote sensing imagery using convolutional capsule networks, IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2019.**.
S. Pan,H.Guan*, Y. Yu, J. Li, D. Peng, 2019. A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(4): 1314-1326. (* 通信作者)
W. Yan, H.Guan*, L. Cao, Y. Yu, S. Gao, J. Lu, 2018. An Automated hierarchical approach for three-dimensional segmentation of single trees using UAV LiDAR Data, Remote Sensing, 10,1999(* 通信作者)
成斌，管海燕*，季秋菊，朱浩朋，库巴尼其别克﹒呼杰克，2018. 车载LiDAR数据的道路裂缝信息自动提取，测绘科学，43(8):130-140, 2018年8月（* 通信作者）
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.**, 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/ijgi** (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., Y. Yu, W. Yan, D. Li, J. Li, 3D-CNN Based Tree Species Classification Using Mobile LiDAR Data，ISPRS Geospatial Week 2019, 9-14 June 2019, Enschede, Netherlands.
颜婉倩, 管海燕*，曹林，付逍遥，于永涛，基于UAV LiDAR单木点云的森林特征参数反演, 第五届全国激光雷达大会，2019年5月25-26日，厦门，中国.
潘锁艳，管海燕*，李军，基于卷积神经网络的机载多光谱LiDAR数据地物分类，第五届全国激光雷达大会，2019年5月25-26日，厦门，中国.（最佳论文奖）
Zhao, H., H. Guan, Multi-feature-marks based information extraction of urban green space along road, ISPRS-TC3: Developments, Technologies and Applications in Remote Sensing, May 7-10, 2018 Beijing, China.
Qin, H., H.Guan*,Y. Yu, L. Zhong, A voxel-based filtering algorithm for mobile lidar data, ISPRS-TC3: Developments, Technologies and Applications in Remote Sensing, May 7-10, 2018 Beijing, China.
颜婉倩，管海燕*，基于车载LiDAR点云与数字影像的交通标示牌识别与分类, 第四届全国激光雷达大会，2017年5月27-28日，武汉，中国.
潘锁艳，管海燕*，基于机载多光谱LiDAR数据的地物分类，第四届全国激光雷达大会，2017年5月27-28日，武汉，中国.
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 mobileLiDAR, 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).


三、授权专利:
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：ZL5.9；
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：ZL5.1；
于永涛，李军，管海燕，王程，一种基于车载激光扫描点云的城区道路标线自动分类方法，申请号：20**；
曹爽，赵显福，管海燕，基于点云数据的工业构件仿真安装方法，专利号：ZL9.1；
钟良，管海燕，李云帆，汤璇，俞静敏，甘拯，何业骏，一种基于多光谱LiDAR数据的单木自动提取方法，申请号：5.5；

近期科研项目
2020/01-2023/12 国家自然科学面上研究项目 “基于车载LiDAR点云的交通安全要素信息智能化提取方法研究” （主持）
2018/01-2020/12 国家自然科学基金青年项目, “多源多平台三维点云的全要素语义模型构建” （参与）
2017/01-2020/12 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）
2016/01-2020/12 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）

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