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Jonathan Li
Jonathan Li
Professor, Geomatics & Systems Design Engineering, University of Waterloo; Fellow, IEEE/RSC/CAE/EIC
在 uwaterloo.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
14262018
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
4102020
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
3122021
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
3122008
Deep learning on 3D point clouds
SA Bello, S Yu, C Wang, JM Adam, J Li
Remote Sensing 12, doi:10.3390/rs12111729, 2020
3052020
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
2892020
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
2892014
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
2682013
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
2462013
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
2442016
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
2222019
Toronto-3D: A large-scale mobile LiDAR dataset for semantic segmentation of urban roadways
W Tan, N Qin, L Ma, Y Li, J Du, G Cai, K Yang, J Li
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020
2052020
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
2052015
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
1962013
A random forest ranking approach to predict yield in maize with UAV-based vegetation spectral indices
L Prado Osco, D Elis Garcia Furuya, W Gonçalves, D Cordeiro, ...
Computers and Electronics in Agriculture 178, DOI:10.1016/j.compag.2020.105791, 2020
1892020
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
1892016
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
1892015
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
1852012
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
1822018
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
1782015
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