Professor

Room EV1-111, ext. 34504
junli@uwaterloo.ca
F2019 office hours: Tuesdays 3:30 – 4:30pm, or by appointment.

Jonathan joined the Department in 2007 and his research interests lie mainly in the areas of remote sensing and geographical information science including topographic and thematic mapping from satellite imagery, airborne and terrestrial mobile laser scanning, remote sensing of inland and coastal waters, GIS and web mapping, terrain analysis in hydrogeography and hazard mapping.

For more information, visit Jonathan Li's personal website.


Key Areas of Graduate Supervision
Multispectral and SAR remote sensing, laser scanning (or LiDAR), object-based image analysis, 3D urban modeling and spatial analysis, terrain analysis in hydrogeography, geomatics solutions to disaster management

Recent Courses Taught
GEOG 215: China: Diverse and Dynamic
GEOG 310: Geodesy and Surveying
GEOG 316: Multivariate Statistics
GEOG 608: Urban Remote Sensing

Research Interests
My research interests lie mainly in the areas of remote sensing and geographical information science. The focus is placed on use of the-state-of-art Earth observation and mobile mapping systems to derive spatial and attribute information to support effective urban-suburban planning and environmental management activities; to extract geometric information of urban structures for developing theories and models of urban morphology; to detect land use and land cover changes to study spatiotemporal dynamics and consequences of urbanization as a major form of global changes.

My recent research projects are about the development of innovative algorithms/methods and software tools, including object-based image analysis for multi-scale thematic mapping of physical and built environments, airborne LiDAR point cloud processing for 3D urban modeling, laser scanning data processing for 3D infrastructure reconstruction, intelligent SAR image analysis for automated detection of oil spill, sea ice, and shoreline changes, advanced computer vision and machine learning for intelligent processing of remotely sensed data, as well as novel remote sensing applications in transportation, utility, agriculture, resources and disaster management.

Recent Publications

  • Wang C, *Cheng M, Sohel F, Bennamoun M, Li J, 2019. NormalNet: A voxel-based CNN for 3D object classification and retrieval, Neurocomputing, 323, 139-147.
  • Ma L, Li Y, *Li J, Wang C, Wang R, Chapman MA, 2018. Mobile laser scanned point-clouds for road object detection and extraction: A review, Remote Sensing, 10(10), 1531; doi: 10.3390/rs10101531.
  • You C, *Wen C, Wang C, Li J, Habib A, 2018. Joint 2D-3D traffic sign landmark dataset for geo-localization using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2018. 2868168.
  • Wen C, Sun X, Hou S, Tian J, Dai Y, *Wang C, Li J, 2018. Line structure-based indoor and outdoor integration using backpacked and TLS point cloud data, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2018.2856514.
  • Chen X, *Ye C, Li J, Chapman, M, 2018. Quantifying the carbon storage in urban trees using multispectral ALS data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:10.1109/JSTARS.2018.2859957
  • Li W, *Wang C, Zai D, Huang P, Liu W, Li J, 2018. A volumetric fusing method for TLS and SFM point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(9), 3349-3357.
  • Zhang Z, *Li J, Guo Y, Li X, Lin Y, Xiao G, Wang C, 2018. Robust procedural model fitting with a new geometric similarity estimator, Pattern Recognition, doi:10.1016/j.patcog.2018.07.027.
  • Lin Y, *Wang C, Zai D, Li W, Li J, 2018. Toward better boundary preserved supervoxel segmentation for 3D point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 143, 39-47.
  • Wang C, *Wen C, Hou S, Gong Z, Li Q, Sun X, Li J, 2018. Semantic line framework-based indoor building modeling using backpacked laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, doi:10.1016/j.isprsjprs.2018.03.025.
  • Yang Z, *Wang C, Zhang Z, Li J, 2018. Random Barzilai–Borwein step size for mini-batch algorithms, Engineering Applications of Artificial Intelligence, 72, 124–135.
  • Zhong Z, *Li J, Luo Z, Chapman M, 2018. Spectral-spatial residual networks for hyperspectral image classification: a 3D deep learning framework, IEEE Transactions on Geoscience and Remote Sensing, 56(2): 847-858.
  • Tan W, *Li J, Xu L, Chapman M, 2018. Semi-automated segmentation of Sentinel-1 SAR imagery for mapping sea ice in Labrador Coast, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(5): doi:10.1109/JSTARS.2018.2806640.
  • Ye C, Chen Y, *Li J, 2018. Investigating the influences of tree coverage and road density on property crime, ISPRS International Journal of Geo-Information, 7, 101; doi: 10.3390/ijgi7030101. 
  • *Chen R, Li X, Li J, 2018. Object-based features for house detection from RGB high-resolution images, Remote Sensing, 10, 451; doi:10.3390/rs10030451.
  • Luo H, *Wang, C, Wen C, Chen Z, Yu Y, Li J, 2018. Semantic labeling of mobile LiDAR point clouds via active learning and higher-order MRF. IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2018.2802935.
  • Zai D, *Li J, Guo Y, Cheng M, Huang P, Cao X, Wang C, 2017. Pairwise registration of TLS point clouds using covariance descriptors and a non-cooperative game, ISPRS Journal of Photogrammetry and Remote Sensing, 134: 15-29. 
  • Zou X, *Cheng M, Wang C, Xia Y, Li J, 2017. Tree classification in real complex forest point clouds based on deep learning, IEEE Geoscience and Remote Sensing Letters, 14(12), 2360-2364.
  • Gong Z, *Wen C, Wang C, Li J, 2017. A target-free automatic self-calibration approach for multi-beam laser scanners, IEEE Transactions on Instrumentation and Measurement, 67(1): 238-240.
  • Wang J, Zhang M, Bai X, Tan H, Li S, Liu J, Zhang R, Wolters MA, Qin X, Zhang M, Lin H, Li Y, Li J, *Chen L, 2017. Large-scale transport of PM2.5 in the lower troposphere during winter cold surges in China, Scientific Reports, 7: 13238, doi: 10.1038/s41598-017-13217-2.
  • Xu X, Tolson BA, *Li J, Davison B, 2017. Comparison of X-band and L-band soil moisture retrievals for land data assimilation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(9): 3850-3860.
  • Xu X, Tolson BA, *Li J, Davison B, 2017. Assimilation of synthetic remotely-sensed soil moisture in Environment Canada's MESH model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(4), 1317-1327.
  • Zai D, *Li J, Guo Y, Cheng M, Lin Y, Luo H, Wang C, 2017. 3D road boundary extraction from mobile laser scanning data via supervoxels and graph cuts, IEEE Transactions on Intelligent Transportation Systems, 19(3): 802-813.
  • Ye C, Wang M, *Li J, 2017. Derivation of the characteristics of the surface urban heat island in the Greater Toronto area using thermal infrared remote sensing, Remote Sensing Letters, 8(7): 637-646.
  • Huang P, *Cheng M, Chen Y, Luo H, Wang C, *Li J, 2017. Traffic sign occlusion detection using mobile laser scanning point clouds. IEEE Transactions on Intelligent Transportation Systems, 18(9): 2364 - 2376.
  • Lin Y, *Wang C, Chen B, Zai D, Li J, 2017. Facet segmentation based line segment extraction for large-scale point clouds, IEEE Transactions on Geoscience and Remote Sensing, 55(9): 4839-4854.
  • Huang P, *Cheng M, Chen Y, Zai D, Wang C, *Li J, 2017. Solar potential analysis method using terrestrial laser scanning point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(3), 1221-1233.
  • Cheng M, Zhang H, Wang C, *Li J, 2017. Extraction and classification of road markings using mobile laser scanning point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(3), 1182-1196.
  • Zang Y, *Wang C, Yu Y, Luo L, Ke Y, Li J, 2017. Joint enhancing filtering for road network extraction, IEEE Transactions on Geoscience and Remote Sensing, 55(3), 1511-1525.
  • Wu F, *Wen C, Guo Y, Wang J, Yu Y, Wang C, *Li J, 2017. Rapid localization and extraction of street light poles in mobile LiDAR point clouds: a supervoxels-based approach. IEEE Transactions on Intelligent Transportation Systems, 18(2), 292-305.
  • Yu Y, *Li J, Guan H, Wang C, Wen C, 2017. Bag-of-contextual-visual-words for road scene object detection from mobile laser scanning data. IEEE Transactions on Intelligent Transportation Systems, 17(12), 3391-3406.
  • Chen Y, Wang S, Ma L, *Li J, Wu R, *Luo Z, Wang C, Chapman MA, 2019. Rapid urban roadside tree inventory using a mobile laser scanning system, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:10.1109/JSTARS.2019.2929546.
  • Zhong Z, *Li J, Clausi D, Wong A, 2018. Generative adversarial networks and conditional random fields for hyperspectral image classification, IEEE Transactions on Cybernetics, doi:10.1109/TCYB.2019.2915094.
  • Luo Z, *Li J, Xiao Z, Mou GZ, Cai X, Wang C, 2019. Learning high-level features by fusing multi-view representation of MLS point clouds for 3D object recognition in road environments, ISPRS Journal of Photogrammetry and Remote Sensing, 150, 44-58.
  • Wen C, Sun X, *Li J, Wang C, Guo Y, Habib A, 2019. A deep learning framework for road marking extraction, classification and completion from mobile laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 147: 178-192.
  • Zhang Y, Xiong Z, *Zang Y, Wang C, Li J, Li X, 2019. Topology-aware road network extraction via multi-supervised generative adversarial networks, Remote Sensing, 11, 1017, doi:10.3390/rs11091017
  • Ye C, *Li J, Jiang H, Zhao H, Ma L, Chapman M, 2019. Semi-automated generation of road transition lines using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2019.2904735.
  • Ma L, *Li J, Li Y, Zhong Z, Chapman M, 2019. Generation of horizontally curved driving lines in HD maps using mobile laser scanning point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI:10.1109/JSTARS.2019.2904514.
  • Wen C, You C, Wu H,*Wang C, Fan X, Li J, 2019. Recovery of urban 3D road boundary via multi-source data, ISPRS Journal of Photogrammetry and Remote Sensing, 156, 184-201.
  • Zheng C, *Fan X, Wen C, Chen L, Wang C, *Li J, 2019. DeepSTD: Mining spatio-temporal disturbances of multiple context factors for citywide traffic flow prediction, IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2019.2932785.
  • Chen F, Lou S, Fan Q, Wang X, Claverie M, Wang C, *Li J, 2019. Normalized difference vegetation index continuity of the Landsat 4-5 MSS and TM: Investigations based on simulation, Remote Sensing, 11(14), 1681, doi: 10.3390/rs11141681.
  • Zhang S, *Wang C*, Lin L, Wen C, Yang C, Zhang Z, Li J, 2019. Automated visual recognizability evaluation of traffic sign based on 3D LiDAR point clouds, Remote Sensing, 2019, 11, 1453, doi:10.3390/rs11121453.
  • Yu Y, Guan H, Li D, Jin S, Chen T, Wang C, Li J, 2019. Three-dimensional feature matching for point cloud object extraction, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2019.2918073.
  • Wen C, Dai Y, Xia Y, Lian Y, Tan J, Wang C, Li J, 2019. Towards efficient 3-D colored mapping in GPS/GNSS-denied environments, IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2019.2916844.
  • Yu Y, Guan H, Li D, Jin C, Wang C, Li J, 2019. Road manhole cover delineation using mobile laser scanning point cloud data, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2019.2916156.
  • Sui L, *Li L, Li J, Chen N, Jiao Y, 2019. Fusion of hyperspectral and multispectral images based on a Bayesian nonparametric approach, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(4), 1205-1218.
  • Pan S, *Guan H, Yu Y, Li J, Peng D, 2019. A comparative land-cover classification feature study of learning algorithms: DBM, PCA and RF using multispectral LiDAR data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(4), 1314-1326.
Affiliation: 
University of Waterloo

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