• 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、多模态遥感，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中应用的研究。具体的研究方向包括多模态遥感分类，目标提取，城市功能区识别，点云分类和三维重建等。参与了新加坡第一个智慧城市和智慧校园项目“Virtual NUS”的研究和开发。

 

  • 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

 

  • 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

 

  • 代表性论著
  1. Guo, Z.; Xu, R., Feng, C.-C., Zeng, Z., 2024. PIF-Net: A Deep Point-Image Fusion Network for Multimodality Semantic Segmentation of Very High-Resolution Imagery and Aerial Point Cloud, IEEE Transactions on Geoscience and Remote Sensing, 62, 1-15.
  2. Guo, Z., Wen, J., Xu, R., 2023. A Shape and Size Free-CNN for Urban Functional Zone Mapping with High-Resolution Satellite Images and POI Data, IEEE Transactions on Geoscience and Remote Sensing, 61, 1-17.
  3. Guo, Z., Zeng, Z., Zhang, Q., Xu, R., Wen, J., 2024. SCED-Net: Coupling Dual-Branch and Encoder-Decoder Network for Identification and Delineation of Municipal Solid Waste from VHR Images, IEEE Geoscience and Remote Sensing Letters, 21(1), 1-5.
  4. Wang, J., Feng, C.-C., Guo, Z.*, 2023. A Novel Graph-based Framework for Classifying Urban Functional Zones with Multisource Data and Human Mobility Patterns, Remote Sensing, 15, 730.
  5. Feng, C.-C., Guo, Z.*, 2021. A Hierarchical Approach for Point Cloud Classification With 3D Contextual Features, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14(1), 5036-5048
  6. 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: 10.1080/24694452.2020.1807900.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.

 

  • 科研项目
  1. 广东省科技厅，广东省面上项目，2024A1515011544，多源数据融合下的粤港澳大湾区城市功能区制图方法研究， 2024-01至今（主持）
  2. 广东省国土资源测绘院，政府采购项目，76230-71020016，广东省智慧自然资源综合感知服务国土三调及其年度变更调查数据处理服务，2022-08至2023-12（主持）
  3. 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）
  4. 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)
  5. National University of Singapore，NUS Strategic Initiative Fund, Virtual NUS, 2016-04至2018-03 （重点参与）

 

  • 获奖情况

高分专项卫星应用优秀成果奖、中山大学第十一届本科教育教学成果奖、全国大学生GIS应用技能大赛优秀教师指导奖、易智瑞杯中国大学生GIS软件开发竞赛教师指导奖