| Spectral-spatial residual networks for hyperspectral image classification: a 3D deep learning framework Z Zhong, J Li, Z Luo, M Chapman IEEE Transactions on Geoscience and Remote Sensing 56 (2), 847-858, 2018 | 881 | 2018 |
| A study on DEM-derived primary topographic attributes for hydrologic applications: Sensitivity to elevation data resolution S Wu, J Li, GH Huang Applied Geography 28 (3), 210-223, 2008 | 287 | 2008 |
| Using mobile laser scanning data for automated extraction of road markings H Guan, J Li, Y Yu, C Wang, M Chapman, B Yang ISPRS Journal of Photogrammetry and Remote Sensing 87, 93-107, 2014 | 264 | 2014 |
| Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds B Yang, L Fang, J Li ISPRS Journal of Photogrammetry and Remote Sensing 79, 80-93, 2013 | 245 | 2013 |
| Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data X Zhang, C Liao, J Li, Q Sun International Journal of Applied Earth Observation and Geoinformation 21 …, 2013 | 216 | 2013 |
| Use of mobile LiDAR in road information inventory: a review H Guan, J Li, S Cao, Y Yu International Journal of Image and Data Fusion 7 (3), 219-242, 2016 | 195 | 2016 |
| Semiautomated extraction of street light poles from mobile LiDAR point-clouds Y Yu, J Li, H Guan, C Wang, J Yu IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1374-1386, 2015 | 183 | 2015 |
| Automated extraction of road markings from mobile LiDAR point clouds B Yang, L Fang, Q Li, J Li Photogrammetric Engineering & Remote Sensing 78 (4), 331-338, 2012 | 172 | 2012 |
| Deep learning for LiDAR point clouds in autonomous driving: A review Y Li, L Ma, Z Zhong, F Liu, D Cao, M Chapman, J Li IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3412 - 3432, 2020 | 171 | 2020 |
| Squeeze-and-attention networks for semantic segmentation Z Zhong, Z Lin, R Bidart, X Hu, IB Daya, Z Li, WS Zheng, J Li, A Wong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13065 …, 2020 | 169 | 2020 |
| Deep learning on 3D point clouds SA Bello, S Yu, C Wang, JM Adam, J Li Remote Sensing 12, doi:10.3390/rs12111729, 2020 | 169 | 2020 |
| Learning hierarchical features for automated extraction of road markings from 3-D mobile LiDAR point clouds Y Yu, J Li, H Guan, F Jia, C Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 163 | 2015 |
| Deep learning based tree classification using mobile LiDAR data H Guan, Y Yu, Z Ji, J Li, Q Zhang Remote Sensing Letters 6 (11), 864-873, 2015 | 156 | 2015 |
| Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example D Ming, J Li, J Wang, M Zhang ISPRS Journal of Photogrammetry and Remote Sensing 106, 28-41, 2015 | 155 | 2015 |
| Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests H Guan, J Li, M Chapman, F Deng, Z Ji, X Yang International Journal of Remote Sensing 34 (14), 5166-5186, 2013 | 146 | 2013 |
| A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 images L Xu, J Li, A Brenning Remote Sensing of Environment 141, 14-23, 2014 | 145 | 2014 |
| Advances in Mobile Mapping Technology: ISPRS Book Series CV Tao, J Li Taylor & Francis, 2007 | 144* | 2007 |
| Automated road information extraction from mobile laser scanning data H Guan, J Li, Y Yu, MA Chapman, C Wang IEEE Transactions on Intelligent Transportation Systems 16 (1), 194-205, 2015 | 143 | 2015 |
| LO-Net: Deep real-time LiDAR odometry Q Li, S Chen, C Wang, X Li, C Wen, M , Cheng, J Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 137 | 2019 |
| Mobile laser scanned point-clouds for road object detection and extraction: A review L Ma, Y Li, J Li, C Wang, R Wang, M Chapman Remote Sensing 10 (10), doi: 10.3390/rs10101531, 2018 | 137 | 2018 |
