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Jonathan Li
Jonathan Li
Professor, Geomatics & Systems Design Engineering, University of Waterloo; RSC/CAE/EIC/IEEE Fellow
Bestätigte E-Mail-Adresse bei uwaterloo.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
15922018
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
4942020
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
3752021
Deep learning on 3D point clouds
SA Bello, S Yu, C Wang, JM Adam, J Li
Remote Sensing 12, doi:10.3390/rs12111729, 2020
3612020
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
3232008
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
3182020
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
2932014
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
2782013
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
2602013
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
2512016
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
2432020
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
2372019
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
2262020
Spectral-spatial transformer network for hyperspectral image classification: A factorized architecture search framework
Z Zhong, Y Li, L Ma, J Li, WS Zheng
IEEE Transactions on Geoscience and Remote Sensing, 10.1109/TGRS.2021.3115699, 2021
2182021
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
2082015
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
2082013
Nerf: Neural radiance field in 3d vision, a comprehensive review
K Gao, Y Gao, H He, D Lu, L Xu, J Li
arXiv, arXiv:2210.00379, 2022
1992022
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
1992018
Fully convolutional networks for building and road extraction: preliminary results
Z Zhong, J Li, W Cui, H Jiang
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016
1952016
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
1912012
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