Personal Information
Lina YI
Lecture
Email：linayi@cumtb.edu.cn
Research Interests
(1) UAV hyperspectral remote sensing enviroment monitoring;
(2) High spatial remote sensing information extraction;
(3) Lidar data processing and information extraction
(4) Object-based image analysis and information extraction
Education/Work Background
2002.07-2006.07，School of Remote Sensing and Information Engineering, Wuhan University, Bachelor;
2006.09-2011.07，School of Remote Sensing and Information Engineering, Wuhan University, PhD；
2011.07-2014.02， School of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Lecture；
2014.02-2014.07，State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Visiting Scholar；
2014.07-2019.10， School of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Lecture；
2019.10-2020.10，Department of Geography and planning, University of Toronto, Visiting professor;
2020.11-Now，School of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Lecture.
Teaching Courses
Photogrammetry
Practice of Photogrammetry
Aerospace photogrammetry foundation
Selected Publications
[1] Lina Yi, Xiao Xu, Guifeng Zhang, Xing Ming, Wenji Guo, Shaocong Li, Lingyu Sha, Light and Small UAV Hyperspectral Image Mosaicking, Spectroscopy and Spectral Analysis, 2019, 39(6):1885-1891.
[2] Lina Yi, Xiao Xu, Lin Yi, Xiangyang Peng, LiDAR point cloud data processing software comparison, MINE SURVEYING,2017, 45(6)：1-6.
[3] Lina Yi，ShuShu Xu，Ke Wang，Xiangyang Peng, Line-array CCD aerial photogrammetry data processing method analysis，MINE SURVEYING，2017,Vol. 45, No. 5, pp:23-26.
[4] Lina Yi, Luan Li, Xuesheng Zhao, Yanhua Li, City ground object extraction from image and Lidar data. Science of Surveying and Mapping, 2016,41(2): 92-96.
[5] Lina Yi, Pengfei Liu,Xiao jun Qiao,Ningxiao Zhang, Yanhua Li, Lineament extraction from remote sensing image and DEM, 2014,Bulletin of Surveying and Mapping | Bull Surv Map,10:19-22.
[6] Lina Yi, Guifeng Zhang, and Zhaocong Wu, A Scale-Synthesis Method for High-Spatial-Resolution Remote-Sensing Image Segmentation, 2012, IEEE Transactions on GeoScience and Remote sensing, 50(10):4062-4070
[7] Deren Li, Guifeng Zhang, Zhaocong Wu, and Lina Yi, An edge embedded marker-based watershed algorithm for high spatial resolution remote sensing image segmentation,2010,IEEE Transactions on Image processing,I 19(10)：2781-2787
[8] Zhaocong Wu , Lina Yi, Guifeng Zhang, Uncertainty analysis of object location in multi-source remote sensing imagery classification,2009,International Journal of remote sensing,30(20)：5473-5487
[9] Lina Yi, Xuesheng Zhao, Luan Li, Guifeng Zhang , Extracting Urban Ground Object Information from Images and LiDAR Data，The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B7, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic
[10] Lina Yi, Pengfei Liu,Xiaojun Qiao, Xiaoning Zhang, Yuan Gao, Boyan Feng, Multi-granularity synthesis segmentation for high spatial resolution Remote sensing images, 2013 IOP Conference Series: Earth and Environmental Science EI. 17(1):1-6
[11] Lina Yi, Guifeng Zhang, Object-Oriented Remote Sensing Imagery Classification Accuracy Assessment Based on Confusion Matrix, 2012 Proceedings - 2012 20th International Conference on Geoinformatics.
[12] Lina Yi; Jing M. Chen; Guifeng Zhang; Xiao Xu; Xing Ming; Wenji Guo； Seamless Mosaicking of UAV-Based Push-Broom Hyperspectral Images for Environment Monitoring, Remote Sensing, 2021, 13(4720): 1-25.
[13] Lina Yi；Guifeng Zhang；Zheng Wei；Mianqing Wang；Jingke Liu；Liujing Wang，Mangrove forest species classification based on the UAV hyperspectral images，Bulletin of surveying and mapping，2022,11:26~31.
[14] Lina Yi; Guifeng Zhang; Bowen Zhang, Application of UAV push-broom hyperspectral images in water quality assessments for inland water protection: A Case Study of Zhang Wei Xin River in Dezhou Distinct, China， Remote Sensing, 2023，15(9).