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中山大学珠海校区测绘科学与技术学院导师教师师资介绍简介-郭舟

本站小编 Free考研考试/2021-05-15



郭舟

中山大学测绘科学与技术学院 副教授



电子邮件
guozh37@mail.sysu.edu.cn



个人简介
郭舟,中山大学测绘科学与技术学院副教授,硕士生导师
主要从事多源数据融合包括高分辨率卫星影像,GIS数据,激光点云数据等在智慧城市和智慧校园中应用的研究。具体的研究方向包括土地利用分类,目标提取,城市功能区识别,点云分类和三维重建等。参与了“虚拟新加坡国立大学(Virtual NUS)”的项目研究和开发。
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教育经历
2012.09 – 2017.06,北京大学,地图学与地理信息系统,理学博士
2015.09 – 2016.09,美国普渡大学,联合培养博士
2008.09 – 2012.07,武汉大学,遥感科学与技术,工学学士
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工作经历
2021.01 – 现在,中山大学测绘科学与技术学院,副教授
2017.06 – 2020.12,新加坡国立大学,博士后研究员
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代表性论著
Ho, E., Guo, Z., Liew, J., Chiu, T., Huang, S., Yeoh, B., 2020. Webs of care: Qualitative GIS research on aging, mobility, and care relations in Singapore. Annals of the American Association of Geographers, DOI: 10.1080/**.2020.**.
Guo, Z., Feng, C.-C., 2020. Using multi-scale and hierarchical deep convolutional features for 3D semantic classification of TLS point clouds. International Journal of Geographic Information Science, 34(4), 661-680.
Yu, Y., Guo, Z., Wang, Y.C., 2019. Spatial patterns and driving forces of land change in Tibetan inhabited Three Rivers Headwaters region, China. Journal of Mountain Science 16(1), 207-225.
Feng, C.-C., Guo, Z.*, 2018. Automating parameter learning for classifying terrestrial LiDAR point cloud using 2D land cover maps. Remote Sensing 10(8), 1192.
Guo, Z., Du, S., 2017. Mining parameter information for building extraction and change detection with very-high-resolution imagery and GIS data. GIScience & Remote Sensing 54(1), 38 - 63.
Guo, Z., Du, S., Habib, A., 201 An extended random walker approach for object extraction by integrating VGI data and VHR image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9(5), 1854-1863.
Guo, Z., Du, S., Zhao, W., He, F., Lin, Y.-J., 2016. A Graph based approach for the co-registration refinement of very-high-resolution imagery and digital line graphic data. International Journal of Remote Sensing 37(17), 4015-4034.
Du, S., Guo, Z., Wang, W., Guo, L., Nie, J., 2016. A comparative study of the segmentation of weighted aggregation and multiresolution segmentation. GIScience & Remote Sensing 53(5), 651-670.
Guo, Z., Du, S., Zhao, W., 2015. Using random walker for knowledge transfer in classifying multi-temporal VHR images. International Journal of Remote Sensing 36 (17), 4332-4343.
Guo, Z., Du, S., Li, M., Zhao, W., 2016. Exploring GIS knowledge to improve building extraction and change detection from VHR imagery in urban areas. International Journal of Image and Data fusion 7 (1): 42-62.
Zhao, W., Guo, Z., Yue, J., Zhang, X., Luo, L., 2015. On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery. International Journal of Remote Sensing 36 (13), 3368-3379.
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科研项目
National University of Singapore,FASS Faculty Research Support Scheme, C-109-000-222-091, Semantic Classification of 3D Point Cloud Using Spatial and Contextual Information to Support Smart Campus Applications, 2019-03至2020-03 (主持)
Ministry of Education, Singapore,MOE-Tier 2 grant, R-705-000-035-133 Transnational Relations, Ageing and Care Ethics (TRACE), 2018-01至 2020-12 (重点参与)
National University of Singapore,NUS Strategic Initiative Fund, Virtual NUS, 2016-04至2018-03 (重点参与)
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获奖情况
武汉大学优秀毕业生,北京大学五四奖学金,博士生国家奖学金等
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