Jing Du

My research focuses on large-scale 3D point cloud understanding for urban and environmental remote sensing, with an emphasis on semantic segmentation, novel structure and class discovery, and robust representation learning under heterogeneous sensing conditions and environmental variability. Under the supervision of Professor Yuhong He, my postdoctoral research extends this work toward ecological remote sensing and vegetation monitoring.

 

Du, J., Zelek, J., Zhang, D., and Li, J. (2025). 3DLCDM: Hybrid supervision for land cover discovery mapping of emerging urban structures in 3D remote sensing. Remote Sensing of Environment, 331, Article 115018. https://doi.org/10.1016/j.rse.2025.115018

Du, J., Xu, L., Ma, L., Gao, K., Zelek, J., and Li, J. (2025). 3D semantic segmentation: Cluster-based sampling and proximity hashing for novel class discovery. ISPRS Journal of Photogrammetry and Remote Sensing, 223, 274–295. https://doi.org/10.1016/j.isprsjprs.2025.03.001

Du, J., Zelek, J., and Li, J. (2024). Weather-aware autopilot: Domain generalization for point cloud semantic segmentation in diverse weather scenarios. ISPRS Journal of Photogrammetry and Remote Sensing, 218, 204–219. https://doi.org/10.1016/j.isprsjprs.2024.09.006