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Jonathan Li
Jonathan Li
IEEE Fellow, Professor, University of Waterloo
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Cited by
Year
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
11592018
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
2962008
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
2782014
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
2642020
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
2542013
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
2342020
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
2322013
Deep learning on 3D point clouds
SA Bello, S Yu, C Wang, JM Adam, J Li
Remote Sensing 12, doi:10.3390/rs12111729, 2020
2262020
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
2182016
A review on deep learning in UAV remote sensing
LP Osco, J Marcato Jr, APM Ramos, Jorge, LA de Castro, SN Fatholahi, ...
International Journal of Applied Earth Observation and Geoinformation 102 …, 2021
2002021
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
1962015
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
1852019
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
1812012
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
1762015
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
1722013
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
1702015
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
1662015
Fully convolutional networks for building and road extraction: preliminary results
Z Zhong, J Li, W Cui, H Jiang
IGARSS2016, doi:10.1109/IGARSS.2016.7729406, 2016
1652016
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
1562015
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
1552018
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Articles 1–20