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导航

  • 个人资料
  • 个人概况
  • 研究方向
  • 招生与培养
  • 开授课程
  • 科研项目
  • 学术成果
  • 荣誉及奖励

10 访问

个人资料

  • 部门： 空间人工智能学院
  • 性别： 男
  • 专业技术职务： 教授
  • 研究标签：
  • 毕业院校： 开普敦大学
  • 学位： 博士
  • 学历：
  • 联系电话：
  • 电子邮箱： jli@geoai.ecnu.edu.cn
  • 办公地址：
  • 通讯地址：
  • 邮编：
  • 传真：

教育经历

南非开普敦大学测绘工程专业，博士；

导师：海茵茨-鲁特教授，南非科学院院士，南非工程院院士，ISPRS会士


工作经历

华东师范大学空间人工智能学院，名誉院长，教授，博士生导师

华东师范大学辛顿时空智能创新研究院，院长，研究员




个人简介

李军教授，1995年师从南非科学院院士、南非工程院院士、ISPRS会士、国际著名的摄影测量学家海茵茨-鲁特教授，获南非开普敦大学测绘工程专业博士学位。回国前，曾先后在德国、南非、加拿大从事科研教学工作。现任华东师范大学空间人工智能学院名誉院长、教授和博士生导师，辛顿时空智能创新研究院院长。他长期从事遥感与地理信息科学的研究与教学工作，是国际移动激光雷达测图技术发展的杰出贡献者，聚焦激光雷达点云语义感知与高精测图理论研究和重大技术创新，主持科研项目50多项，发表SCI期刊论文400多篇（第一/通讯200多篇），谷歌学术引用2.9万多次，h指数86，i10指数410，出版英文专(编)著8部，获第一发明人授权专利25件，转让9件。先后入选教育部、上海市、中组部海外领军人才计划。他是加拿大皇家科学院院士、加拿大工程院院士、加拿大工程研究院院士、IEEE会士。


社会兼职

  • 《国际应用地球观测与地理信息期刊》主编

  • 《IEEE地球科学与遥感汇刊》副主编

  • 美国《摄影测量工程与遥感期刊》副主编

  • 联合国全球地理信息管理学术委员会理事


研究方向

  • 具身智能与自主测图 Embodied AI for Autonomous Mapping 

  • 激光雷达遥感 LiADR Remote Sensing

  • 多模态遥感 Multimodal Remote Sensing

  • 时空人工智能与应急管理 Spatiotemporal AI for Emergency Management

  • 三维视觉 3D Vision


招生与培养

开授课程

本科专业课：Undergraduate Courses:

  • 空间人工智能导论 Introduction to GeoAI

研究生专业课程: Graduate Courses:

  • 激光雷达遥感 LiDAR Remote Sensing



科研项目

学术成果

Selected journal publications

2026

[1]         Xu H, *He H, Zhang Y, Zhang D, *Li J, 2026. Semantic change detection with constrained dual-head CNN architecture for oil/gas well site monitoring, Photogrammetric Engineering & Remote Sensing, DOI:10.14358/PERS.25-00112R3.

[2]         Fatholahi S, *Yin S, Hu K, Yao Y, Zhang D, Lu D, Teng J, Li J, 2026. A comparative evaluation of deep learning models for point cloud upsampling: Insights from indoor parking lot dataset, Photogrammetric Engineering & Remote Sensing, DOI:10.14358/PERS.25-00083R3.

2025

[3]         Liu B, Kang J, Guan H, Ma L, Yu Y, Li S, Li J, 2025.Boundary-guided real-time semantic segmentation and pixel-level quantification of pavement cracks, IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2025.3642011.

[4]         Luan S, He H, Li L, Yang H, Li LZ, Teng J, *Zhang D, Li J, 2025. A Mamba-based approach for super-resolution and speckle noise reconstruction of SAR images in remote sensing applications, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2025.3641890.

[5]         Gao K, Lu D, He H, Li L, Xu L, Chapman MA, *Li J, 2025. Gaussian Building Mesh (GBM): Extract a building’s 3D mesh with Google Earth and Gaussian Splatting, Remote Sensing Applications: Society and Environment, 40, 101807, https://doi.org/10.1016/j.rsase.2025.101807.

[6]         Chen Z, Qiu W, Wang H, Li D, Gou J, Chen K, Wang C, Li J, 2025. SFE-CapsNet: Spatial feature enhanced capsule networks for remote sensing object detection, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2025.3632353.

[7]         Du J, Zelek J, *Zhang D, *Li J, 2024. 3DLCDM: Hybrid supervision for land cover discovery mapping of emerging urban structures in 3D remote sensing, Remote Sensing of Environment,https://doi.org/10.1016/j.rse.2025.115018.

[8]    Du J, Zelek J, *Zhang D, *Li J, 2025. Gated multi-source fusion with geometric sequence modeling for novel urban structure discovery, ISPRS Journal of Photogrammetry and Remote Sensing, 230, 495-523. https://doi.org/10.1016/j.isprsjprs.2025.09.017.

[9]      Teng J, Zhu Z, Pu D, Wang T, Zeng X, Snoussi H, *Shi R, Sheng QZ, He H, Li J, MSCSCNet: Multi-scale convolution selective context network with boundary supervision for semantic segmentation of remote sensing images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2025.3613049.

[10]      Chen Z, Li T, Li D, Gou J, Wang C, Gao K, *Li J, Gong Z, 2025. Leveraging multi-view images to learn domain-invariant discriminative embeddings for cross-view geo-localization, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2025.3613262.

[11]      Gao K, Lu D, Li L, Chen N, He H, *Xu L, *Li J, 2025. Digital buildings analysis: 3D modeling, GIS integration, and visual descriptions using Gaussian splatting, ChatGPT/DeepSeek, and Google maps platform, IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2025.3606333.

[12]      Lu D, Gao K, Li J, *Zhang D, *Xu L, 2025. Exploring token serialization for Mamba-based LiDAR point cloud segmentation, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2025.3605383.

[13]   Xu Z, *Li J, Cheng S, Rui X, Zhao Y, He H, Guan H, Sharma A, Erxleben M, Xu L, 2025. Deep learning for wildfire risk prediction: Integrating remote sensing and environmental data, ISPRS Journal of Photogrammetry and Remote Sensing, 227, 632-677.

[14]      Gao K, Lu D, Li L, Chen N, He H, Du J, Xu, Li J, 2025. Instructor–worker large language model system for policy recommendation: A case study on air quality analysis of the January 2025 Los Angeles wildfires, International Journal of Applied Earth Observation and Geoinformation, 143, 104774. https://doi.org/10.1016/j.jag.2025.104774.

[15]      Zhu C, Li JX, Li J, Tang F, Lu D, Wang Y, Xue J, Yang Q, Su Y, 2025. Multi-KPConv: deep learning-based LiDAR point cloud ground point extraction for complex terrains on the Loess Plateau, International Journal of Digital Earth, 18(2), https://doi.org/10.1080/17538947.2025.2556235.

[16]      Li JX, *Tang F, *Ma L, Zhu C, Gong Z, Ruhaiyem NIR, Li J, 2025. Point-SCT: A multi-scale spatial convolution-Swin transformer network for point cloud ground filtering in complex mountainous terrains, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2025.3573023.

[17]      Lu D, Xu L, Zhou J, Gao K, *Li J, 2025. 3DLST: 3D learnable supertoken transformer for LiDAR point cloud scene segmentation, International Journal of Applied Earth Observation and Geoinformation, 140, 104572. https://doi.org/10.1016/j.jag.2025.104572.

[18]  Du J, Xu L, Ma L, Gao K, Zelek J, *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.

[19]      He H, Xu L, Chapman MA, *Ma L, *Li J, 2025. Cost-effective high-definition building mapping: Box-supervised rooftop delineation using high-resolution remote sensing imagery, Photogrammetric Engineering and Remote Sensing, vol. 91, no. 4, pp. 225-239. DOI: 10.14358/PERS.24-00115R3.

[20]      Du J, *Cai J, Wang Z,Su J, Huang M, Zelek J,Marcato Jr J, *Li J, 2025. MTCloud: Multi-type convolutional linkage network for point cloud instance segmentation, Expert Systems with Applications, 270, 126432.

[21]      Zhou H, *He H, Xu L, Ma L, Zhang D, Chen N, Chapman MA, *Li J, 2025. A comparative study of deep learning methods for automated road network extraction from high-spatial-resolution remotely sensed imagery, Photogrammetric Engineering and Remote Sensing, vol. 91, no. 3, 163–174, DOI: 10.14358/PERS.24-00100R2.

[22]      Gao K, Lu D, He H, Xu L, Li J, *Gong Z, 2025. Enhanced 3D urban scene reconstruction and point cloud densification using Gaussian splatting and Google Earth imagery, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2025.3536169.

[23]      Zhang D, Tan W, Zelek JS, *Ma L, *Li J, 2025. SLAM-TSM: Enhanced indoor LiDAR SLAM with total station measurements for accurate trajectory estimation, IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 2, pp. 1743-1753. DOI: 10.1109/TITS.2024.3504487.

Selected AI conference publications

[1]    Xiong K, Xiang H, Xu Q, Wen C, Shen S, Li J, Wang C, 2024. Mining and transferring feature-geometry coherence for unsupervised point cloud registration, 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 9 -15 Dec 2024, Vancouver, Canada, DOI: 10.48550/arXiv.2411.01870.

[2]    Liu W, Guo HY, Zhang W, *Zang Y, Wang C, Li J, 2022. TopoSeg: Topology-aware Segmentation for Point Clouds, IJCAI 22, pp. 1201-1208, July 23-29, Vienna, Austria.

[3]    Deng S, Feng Y, *Wei M, Xie H, Chen Y, Li J, Zhang X, Qin J, 2021. Direction-aware feature-level frequency decomposition for single image deraining, IJCAI-21, pp. 650-656.

[4]    Zhong Z, Lin Z, Bidart R, Hu X, Daya IB, Li Z, Zheng W, Li J, Wong A, 2020. Squeeze-and-attention networks for semantic segmentation, CVPR, Virtual, June 14-19, pp. 13065-13074.

[5]    Li Q, Chen S, *Wang C, Li X, Wen C, Cheng M, Li J, 2019. LO-Net: Deep real-time LiDAR odometry, CVPR 2019, Long Beach, USA, June 16-20, pp. 8473-8482.

[6]    Shen X, *Wang C, Yu Z, Li X, Li J, Wen C, Cheng M, He Z, 2019. RF-Net: An end-to-end image matching network based on receptive field, CVPR 2019, Long Beach, USA, June 16-20, pp. 8132-8140.

[7]    Chen H, Luo Y, *Cao L, Zhang B, Guo G, Wang C, Li J, Ji R, 2019. Generalized zero-shot vehicle detection in remote sensing imagery via coarse-to-fine framework, Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), pp. 687-693.

[8]    Chen Y, Wang J, *Li J, *Lu C, Luo Z, Han X, Wang C, 2018. LiDAR-video dataset: learning driving policies effectively, CVPR 2018, Salt Lake City, June 18-22, pp. 5870-5878, DOI:10.1109/CVPR.2018.00615

[9]    Liu W, Shen H, *Wang C, Zhang Z, Wen C, Li J, 2018. H-Net: Neural network for cross-domain image patch matching, 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence, Stockholm, Sweden, July 13-19, pp. 856-863.



荣誉及奖励

美国摄影测量与遥感学会Talbert Abrahams金奖(2025)

加拿大测绘学会Geomatica奖(2021)

国际摄影测量与遥感学会Samuel Gamble奖(2020)

移动测图技术杰出成就奖(2019)