Lingfei Ma
Title
Cited by
Cited by
Year
Mobile laser scanned point-clouds for road object detection and extraction: A review
L Ma, Y Li, J Li, C Wang, R Wang, MA Chapman
Remote Sensing 10 (10), 1531, 2018
362018
Deep residual networks for hyperspectral image classification
Z Zhong, J Li, L Ma, H Jiang, H Zhao
IGARSS 2017, 1824-1827, 2017
282017
Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data
C Ye, J Li, H Jiang, H Zhao, L Ma, M Chapman
IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2019 …, 2019
92019
Generation of horizontally curved driving lines in HD maps using mobile laser scanning point clouds
L Ma, Y Li, J Li, Z Zhong, M Chapman
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
92019
Segment-based traffic sign detection from mobile laser scanning data
Y Li, L Ma, Y Huang, J Li.
IGARSS 2018, 4611-4614, 2018
22018
EXAMINING URBAN EXPANSION USING MULTI-TEMPORAL LANDSAT IMAGERY: A CASE STUDY OF THE MONTREAL CENSUS METROPOLITAN AREA FROM 1975 TO 2015, CANADA.
L Ma, H Zhao, J Li
ISPRS Archives 41, 2016
22016
Multi-scale Point-wise Convolutional Neural Networks for 3D Object Segmentation from LiDAR Point Clouds in Large-scale Environments
L Ma, Y Li, J Li, W Tan, Y Yu, M Chapman
IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS …, 2019
12019
TGNet: Geometric Graph CNN on 3D Point Cloud Segmentation
Y Li, L Ma, Z Zhong, D Cao, J Li
IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2019 …, 2019
12019
Rapid urban roadside tree inventory using a mobile laser scanning system
Y Chen, S Wang, L Ma, J Li, R Wu, Z Luo, C Wang, M Chapman
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
12019
Multi-scale KPConv of point clouds for urban scenario segmentation
W Tan, L Ma, Y Li, Li, Jonathan
IGARSS 2020, Oral, 2020
2020
Early-season crop classification with RADARSAT-2 Polarimetric Synthetic aperture radar imagery
W Tan, A Sinha, Y Li, L Ma, J Li
IGARSS 2020, Oral, 2020
2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
W Tan, Q Nannan, L Ma, Y Li, J Du, G Cai, K Yang, J Li
CVPR Workshop, https://arxiv.org/abs/2003.08284, 2020
2020
A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements
LP Osco, APM Ramos, F Pinheiro, M Maezano, ÉAS Moriya, NN Imai, ...
Remote Sensing 12 (6), 906, 2020
2020
A Hybrid Capsule Network for Land Cover Classification Using Multispectral LiDAR Data
Y Yu, H Guan, D Li, T Gu, L Wang, L Ma, J Li
IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2019.2940505, 2019
2019
Automated Extraction of Driving Lines from Mobile Laser Scanning Point Clouds
L Ma, T Wu, Y Li, J Li, Y Chen, M Chapman
Advances in Cartography and GIScience of the ICA 1, doi: 10.5194/ica-adv-1 …, 2019
2019
Multispectral Airborne Laser Scanning Point-Clouds for Land Cover Classification Using Convolutional Neural Networks
L Ma, Z Chen, Y Li, J Li, D Zhang, M Chapman
ISPRS Archives, doi:10.5194/isprs-archives-XLII-2-W13-79, 2019
2019
3D point-based high-definition road maps for autonomous driving
J Li, L Ma, Y Chen, C Wang
FIG Congress 2018, 9360, 2018
2018
Extraction of building windows from mobile laser scanning point clouds
M Zhou, L Ma, Y Li, J Li.
IGARSS 2018, 4308-4311, 2018
2018
Generation of Horizontally Curved Driving Lines for Autonomous Vehicles Using Mobile Laser Scanning Data
L Ma
University of Waterloo, 2017
2017
Examining urban expansion using multi-temporal landsat imagery: A case study of montreal census metropolitan area
H Zhao, L Ma, L Wang, J Li
IGARSS 2016, 2869-2872, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–20