Chen Maolin
副教授 Supervisor of Master's Candidates
Gender : Male
Alma Mater : Wuhan university
Education Level : 博士研究生毕业
Degree : 博士学位
Status : Job
School/Department : School of smart city
Discipline : Surveying and mapping engineering
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Translated or Not : no
Pre One : Wang, M. , Jia, Z. , Luo, J. , Chen, M. , & Ye, Z. . (2021). A hyperspectral image classification method based on weight wavelet kernel joint sparse representation ensemble and β-whale optimization algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP(99), 1-1.
Next One : M. Chen, F. Tang and J. Pan, "Using Polar Grid for Building Extraction in Terrestrial Laser Scanning Data," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 1632-1634, doi: 10.1109/IGARSS39084.2020.9324001.
Introduction
Maolin Chen received his B.S. degree in Remote Sensing Science and Technology, M.S. degree in Surveying and Mapping Engineering, and Ph.D. degree in Photogrammetry and Remote Sensing from Wuhan University in 2012, 2014 and 2018, respectively. He is now associate professor and master supervisor in School of Smart City, Chongqing Jiaotong University. He is the deputy director of the Institute of Advanced Mapping of Mountain Bridges and Tunnels, Chongqing Jiaotong University, and has been selected as one of the "Young Top Talent Support Program" ("Hundred People Plan") of Chongqing Jiaotong University. He has published more than 20 SCI/EI papers, and presided over or participated in five projects, including National Natural Science Foundation of China, Chongqing Natural Science Foundation of China, and Science and Technology Research Project, etc. He is a reviewer of many journals, including IEEE TGRS, IEEE JSTARS, Remote Sensing, Sensors, Drones, Measurement, Applied Science, Journal of Advanced Transportation, etc. He research interest is 3D laser scanning data processing.
