Jonathan Li
Jonathan Li
IEEE Fellow, Professor, University of Waterloo
Zweryfikowany adres z uwaterloo.ca - Strona główna
Cytowane przez
Cytowane przez
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
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
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
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
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
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
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
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
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
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
Deep learning on 3D point clouds
SA Bello, S Yu, C Wang, JM Adam, J Li
Remote Sensing 12, doi:10.3390/rs12111729, 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
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
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
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
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
Advances in Mobile Mapping Technology: ISPRS Book Series
CV Tao, J Li
Taylor & Francis, 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
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
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
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