Professor

Room EV1-111, ext. 34504
junli@uwaterloo.ca
F2017 office hours: Thursdays 2:00 - 3:00 pm

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

  •    Yu Y, *Li J, Wen C, Guan H, Luo H, Wang C, 2016. Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data. ISPRS Journal of Photogrammetry and Remote Sensing, 113: 106–123 (Elsevier: SCI).
  •    Yu Y, *Li J, Guan H, Wang C, 2016. Automated detection of three-dimensional cars in mobile laser scanning point clouds using DBM-Hough-Forests. IEEE Transactions on Geoscience and Remote Sensing, 54(7): 4130-4142 (IEEE: SCI/EI).
  •    Yu Y, *Li J, Guan H, Wang C, Wen C, 2016. Bag-of-contextual-visual-words for road scene object detection from mobile laser scanning data. IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2016.2550798 (IEEE: SCI/EI).
  •    *Guan H, Li J, Cao S, Yu Y, 2016. Use of mobile LiDAR in road information inventory: a review, International Journal of Image and Data Fusion, 7(3): 219-242 (Taylor & Francis: SCI).
  •    Guan H, *Yu Y, Li J, Liu P, 2016. Pole-like road object detection in mobile LiDAR data via supervoxel and bag-of-contextual-visual-words representation, IEEE Geoscience and Remote Sensing Letters, 13(4), 520-524 (IEEE: SCI/EI).
  •    *Guan H, Yu Y, Li J, Ji Z, Zhang Q, 2016. Extraction of power transmission lines from vehicle-borne LiDAR data. International Journal of Remote Sensing 37(1): 229-247 (Taylor & Francis: SCI).
  •    Wen C, Pan S, *Wang C, Li J, 2016. An indoor backpack system for 2-D and 3-D mapping of building interiors, IEEE Geoscience and Remote Sensing Letters, 13(7), 992-996 (IEEE: SCI/EI).
  •    Zhou Y, Kou X, Li J, Fang X, 2016. Comparison on structured and weighted total least squares adjustment methods for linearly structured errors-in-variables models. ASCE Journal of Surveying Engineering, doi: 10.1061/(ASCE)SU.1943-5428.0000190 (ASCE: SCI).
  •    Wu F, *Wen C, Guo Y, Wang J, Yu Y, Chen Y, Wang C, *Li J, 2016. Rapid localization and extraction of street light poles in mobile LiDAR point clouds: a supervoxels-based approach. IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2016.2565698 (IEEE: SCI/EI).
  •    Huang, F, *Wen C, Luo H, Cheng M, Wang, C, Li J, 2016. Local quality assessment of point clouds for indoor mobile mapping. Neurocomputing, 196, 59-69 (Elsevier: SC).
  •    *Cao L, Wang C, Li J, 2016. Vehicle detection from highway satellite images via transfer learning, Information Sciences, 366, 177-187 (Elsevier: SCI).
  •    Zang Y, *Wang C, Cao L, Yu Y, Li J, 2016. Road network extraction via aperiodic directional structure measurement. IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3322-3335 (IEEE: SCI/EI).
  •    Chen Z, *Wang C, Wen C, Teng X, Chen Y, Guan H, Luo H, Cao L, Li J, 2016. Vehicle detection in high-resolution aerial images via sparse representation and superpixels. IEEE Transactions on Geoscience and Remote Sensing, 54(1): 103-116 (IEEE: SCI/EI).
  •    Wen C, Li J, Luo H, Yu Y, Cai Z, Wang H, *Wang C, 2016. Spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data. IEEE Transactions on Intelligent Transportation Systems, 17(1): 27-37 (IEEE: SCI/EI).
  •    *Xu S, Chen L, Chen H, Li J, Lin W, Qi D, 2016. Sea-air CO2 fluxes in the Southern Ocean for the late spring and early summer in 2009. Remote Sensing of Environment, 175: 158–166 (Elsevier: SCI).
  •    Luo H, *Wang C, Wen C, Cai Z, Chen Z, Wang H, Yu Y, Li J, 2016. Patch-based semantic labeling of road scene using colorized mobile LiDAR point clouds. IEEE Transactions on Intelligent Transportation Systems, 17(5): 1286-1297(IEEE: SCI/EI).
  • Guan H, *Li J, Yu Y, Ji Z, Wang C, 2015. Using mobile LiDAR data for rapidly updating road markings, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/ TITS.2015.2409192 (IEEE: SCI/EI).
  • Guan H, *Li J, Yu Y, Chapman MA, Wang C, 2015. Automated road information extraction from mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 16(1): 194-205, DOI: 10.1109/TITS.2014.2328589 (IEEE: SCI/EI).
  • Wen C, Li J, Luo H, Yu Y, Cai Z, Wang H, *Wang C,  2015. Spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2015.2418214 (IEEE: SCI/EI).
  • Yu Y, *Li J, Guan H, Wang C, 2015. Automated extraction of urban road facilities using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2015.2399492 (IEEE: SCI/EI).
  • Yu Y, *Li J, Guan H, Ji Z, Wang C, 2015. Automated detection of urban road manhole covers using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2015.2413812 (IEEE: SCI/EI).
  • Guan H, *Li J, Yu Y, Chapman MA, Wang H, Wang C, Zhai R, 2015. Iterative tensor voting for pavement crack extraction using mobile laser scanning data, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1527-1537 (IEEE: SCI/EI).
  • Wang H, *Wang C, Luo H, Li P, Chen Y, Li J, 2015. 3-D point cloud object detection based on supervoxel neighborhood with Hough forest framework, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2015.2394803 (IEEE: SCI/EI).
  • Lu J, *Li J, Chen G, Zhao L, Xiong B, Kuang G, 2015. Improving pixel-based change detection accuracy using an object-based approach in multi-temporal SAR flood images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2015.2416635 (IEEE: SCI/EI).
  • Lin Y, *Wang C, Cheng J, Chen B, Jia F, Chen Z, Li J, 2015. Line segment extraction for large scale unorganized point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 102: 172–183 (Elsevier: SCI).
  • *Li Z, Li J, Zhou S, Pirasteh S, 2015. Developing an algorithm for local anomaly detection based on spectral space window in hyperspectral image, Earth Science Informatics, DOI: 10.1007/s12145-014-0200-4 (Springer: SCI).
  • *Li Z, Li J, Zhou S, Pirasteh S, 2015. Comparison of spectral and spatial windows for local anomaly detection in hyperspectral imagery, International Journal of Remote Sensing, 36(6): 1570-1583. DOI: 10.1080/01431161.2015.1017666 (Taylor & Francis: SCI).
  • Pirasteh S, Li J, Attarzadeh I, 2015. Implementation of the damage index approach to rapid evaluation of earthquake-resistant buildings, Earth Science Informatics, DOI: 10.1007/s12145-014-0204-0 (Springer: SCI).
  • *Cao L, Wang C, Li J, 2015. Robust depth-based object tracking from a moving binocular camera, Signal Processing, 112:154-161(Elsevier: SCI).
  • *Cheng M, Wang C, Li J, 2015. Single-image super-resolution in RGB space via group sparse representation, IET Image Processing, doi:10.1049/iet-ipr.2014.0313 (IET: SCI).
  • Wei B, *Cheng M, Wang C, Li J, 2015. Combinative hypergraph learning for semi-supervised image classification, Neurocomputing, 153, 271-277 (Elsevier: SCI).
  • Yu Y, *Li J, Guan H, Jia F, Wang C, 2015. Three-dimensional object matching in mobile laser scanning point clouds, IEEE Geoscience and Remote Sensing Letters, 12(3): 492-496 (IEEE: SCI/EI).
  • Yu Y, *Li J, Guan H, Wang C, Yu J, 2015. Semiautomated extraction of street light poles from mobile LiDAR point-clouds, IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1374-1386 (IEEE: SCI/EI).
  • Yu Y, *Li J, Guan H, Jia F, Wang C, 2015. Learning hierarchical features for automated extraction of road markings from 3-D mobile LiDAR point clouds, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2): 709-726 (IEEE: SCI/EI).
  • Guan H, *Yu Y, Li J, Liu P, Zhao H, Wang C, 2014. Automated extraction of manhole covers using mobile LiDAR data, Remote Sensing Letters, 5(12): 1042-1050 (Taylor & Francis: SCI).
  • Yu Y, *Li J, Yu J, Guan H, Wang C, 2014. Pairwise three-dimensional shape context for partial object matching and retrieval on mobile laser scanning data, IEEE Geoscience and Remote Sensing Letters, 11(5): 1019-1023 (IEEE: SCI/EI).
  • Xu L, *Li J, Wong A, Wang, C, 2014. A kernel PCA texture feature for efficient segmentation of RADARSAT-2 SAR sea ice imagery, International Journal of Remote Sensing, 35(13): 5053-5072 (Taylor & Francis: SCI).
  • Wei B, Yu J, *Wang C, Li J, 2014. PolSAR image classification using a semi-supervised classifier based on hypergraph learning, Remote Sensing Letters, 5(4): 386-395 (Taylor & Francis: SCI).
  • *Yan H, Wang Z, Li J, 2014. An integrated model for quantitative and qualitative description of spatial direction relations, Journal of Spatial Science, 59( 2): 191–203, (Taylor & Francis: SCI).
  • Xu L, *Li J, Wong A, Peng J, 2014. K-P-Means: A clustering algorithm of K “purified” means for hyperspectral endmember estimation, IEEE Geoscience and Remote Sensing Letters, 11(10): 1787-1791 (IEEE: SCI/EI).
  • Wang H, *Wang C, Luo H, Li P, Cheng M, Wen C, Li J, 2014. Object detection in terrestrial laser scanning point clouds based on Hough forest, IEEE Geoscience and Remote Sensing Letters, 11(10): 1807-1811 (IEEE: SCI/EI).
  • Xu L, *Li J, Shu Y, Peng J, 2014. SAR image denoising via clustering-based principal component analysis, IEEE Transactions on Geoscience and Remote Sensing, 52(11): 6858-6869 (IEEE: SCI/EI).
  • ŸYu Y, *Li J, Guan H, Wang C, 2014. Automated detection of road manhole and sewer well covers from mobile LiDAR point clouds, IEEE Geoscience and Remote Sensing Letters, doi.10.1109/LGRS.2014.2301195 (IEEE: SCI/EI).
  • Guan H, *Li J, Yu Y, Wang C, Chapman MA, Yang B, 2014. Using mobile laser scanning data for automated extraction of road markings, ISPRS Journal of Photogrammetry and Remote Sensing, 87: 93-107 (Elsevier: SCI).
  • Guan H, *Li J, Yu Y, Zhong L, Ji Z, 2014. DEM generation from lidar data in wooded mountain areas by cross-section plane analysis, International Journal of Remote Sensing, 35(3): 927-948 (Taylor & Francis: SCI).
  • Yu Y, *Li J, Yu J, Guan H, Wang C, 2014. Pairwise three-dimensional shape context for partial object matching and retrieval on mobile laser scanning data, IEEE Geoscience and Remote Sensing Letters, 11(5): 1019-1023 (IEEE: SCI/EI).
  • Xu L, *Li J, Wong A, Peng J, 2014. K-P-Means: A clustering algorithm of K “purified” means for hyperspectral endmember estimation, IEEE Geoscience and Remote Sensing Letters, doi.10.1109/LGRS.2014.2309340 (IEEE: SCI/EI).
  • Xu L, *Li J, Shu Y, Peng J, 2014. SAR image denoising via clustering-based principal component analysis, IEEE Transactions on Geoscience and Remote Sensing, doi.10.1109/TGRS. 2014.2304298 (IEEE: SCI/EI).
  • Xu L, *Li J, 2014. Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and Markov random field, IEEE Geoscience and Remote Sensing Letters, 11(4): 823-827 (IEEE: SCI/EI).
  • Xu L, *Li J, Brenning A, 2014. A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 images, Remote Sensing of Environment, 141: 14-23 (Elsevier: SCI).
  • *Wen C, Qin L, Zhu Q, Wang C, Li J, 2014. Three-dimensional indoor mobile mapping with fusion of two-dimensional laser scanner and RGB-D camera data, IEEE Geoscience and Remote Sensing Letters, 11(4): 843-847 (IEEE: SCI/EI).
  • *Cheng M, Wang C, Li J, 2014. Sparse representation based pansharpening using trained dictionary, IEEE Geoscience and Remote Sensing Letters, 11(1): 293-297 (IEEE: SCI/EI).
  • Guan, H., Li, J., Chapman, M.A., Ji, Z., and Deng, F., 2013. Integration of orthoimagery and lidar data for object-based urban feature mapping using random forests, International Journal of Remote Sensing, Vol. 34, No. 14, 5166-5186 (Taylor & Francis: SCI).
  • Guan, H., J. Li, L. Zhong, Y. Yu, M.A. Chapman, 2013. Process virtualization of large-scale lidar data in a cloud computing environment, Computers & Geosciences, 60, 109-116 (Elsevier: SCI).
  • Guan, H., Ji, Z., Zhong, L., Li, J. and Ren, Q., 2013. Partially supervised hierarchical classification for urban features from lidar data with aerial imagery, International Journal of Remote Sensing, 34 (1): 190-210 (Taylor & Francis: SCI).
  • Xu, L., J. Li and A. Brenning, 2013. A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 images, Remote Sensing of Environment, in press (Elsevier: SCI).
  • Xu, L., J. Li and A. Wong, 2013. Bayesian classification of hyperspectral imagery based on probabilistic sparse representation and Markov random field, IEEE Geoscience and Remote Sensing Letters, in press (IEEE: SCI/EI).
  • Yu, Y., J. Li, H. Guan and C. Wang, 2013. Pairwise 3D shape context for partial object matching and retrieval on mobile laser scanning data, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2013.2285237 (IEEE: SCI/EI).
  • Yu, Y., J. Li, H. Guan and C. Wang, 2013. A marked point process for automated building detection from LiDAR point-clouds, Remote Sensing Letters, in press (Taylor & Francis: SCI).
  • Cheng, M., C. Wang and J. Li, 2013. Sparse representation based pansharpening using trained dictionary, IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2013.2256875 (IEEE: SCI/EI).
  • Sun,Z., Wang, C., Wang, H., Li, J., 2013. Learn multiple-kernel SVMs for domain adaptation in hyperspectral data, IEEE Geoscience and Remote Sensing Letters, Vol. 10, No. 5, 1224-1228 (IEEE: SCI/EI).
  • Yang, B., Fang,L., and Li, J., 2013. Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 79, 80-93 (Elsevier: SCI).
  • Hong, C., J. Yu, J. Li and X. Chen, 2013. Multi-view hypergraph learning by patch alignment framework, Neurocomputing, 118, 79-86 (Elsevier: SCI).
  • Yan, H. and J. Li, 2013. An approach to simplifying point features on maps using the multiplicative weighted Voronoi diagram, Journal of Spatial Science, Vol. 58, No. 2, 291–304 (Taylor & Francis: SCI).
  • Armirsalari, F., Li, J., Guan, X., and Booty, W., 2013. Investigation of correlation between remotely sensed impervious surfaces and chloride concentrations, International Journal of Remote Sensing, 34(5): 1507-1525 (Taylor & Francis: SCI).
  • Zhang, X.F., Liao, C.H., Li, J. and Sun, Q. 2013. Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data, International Journal of Applied Earth Observation and Geoinformation, 21: 506–512 (Elsevier: SCI).
  • Chen, J., Philpot, B., Li., J., Mao, Z. and Pan, D., 2013. Detecting changes in high-resolution satellite coastal imagery using an image object detection approach, International Journal of Remote Sensing, in press (Taylor & Francis: SCI).
  • Deng, H., Zhang, L.Q., Han, C.M., Ren, Y., Zhang, L. and Li, J., 2012. Efficient occlusion-free visualization for navigation in mountainous areas, Computers & Geosciences, doi:10.1016/j.cageo.2012.09.016 (Elsevier: SCI).
  • Guan, H., Ji, Z., Zhong, L., Li, J. and Ren, Q., 2013. Partially supervised hierarchical classification for urban features from lidar data with aerial imagery, International Journal of Remote Sensing, 34 (1): 190-210 (Taylor & Francis: SCI)
  • Kwon, T.-J., Li, J. and Wong, A., 2012. ETVOS: an enhanced total variation optimization segmentation approach for SAR sea-ice image segmentation, IEEE Transactions on Geoscience and Remote Sensing, in press (IEEE: SCI/EI).
  • Chen, J., Li, J., Zhu, Q. and Mao, Z., 2012. Edge-guided multiscale segmentation of satellite multispectral imagery, IEEE Transactions on Geoscience and Remote Sensing, in press (IEEE SCI/EI).
  • Chen, Q., Kuang, G. and Li, J., Sui, L. and L Li, 2012. Unsupervised land cover/use classification using PolSAR imagery based on scattering similarity, IEEE Transactions on Geoscience and Remote Sensing, in press (IEEE: SCI/EI).
  • Liu, M., Liu, X.N., Li, J. and Li, T. 2012. Upscaling of spectral analysis and assessment model from field to region for estimating heavy-metal concentrations in rice, International Journal of Applied Earth Observation and Geoinformation, 19: 12-23 (Elsevier: SCI).
  • Xie, J., Zhang, L.Q., Li, J., Wang, H., and Yang, L., 2012. Automatic simplification and visualization of 3D city building models, International Journal of Applied Earth Observation and Geoinformation, 18: 222-231 (Elsevier: SCI).
  • Chen, D., Zhang, L., Li, J. and Liu, R., 2012. Urban building roof segmentation from airborne lidar point clouds, International Journal of Remote Sensing, 33(20): 6497-6515 (Taylor & Francis: SCI)
  • Zhang, L.Q., Han, C., Zhang, L., Zhang, X. and Li, J., 2012. Web-based visualization of large 3D urban building models, International Journal of Digital Earth (Taylor & Francis: SCI), DOI:10.1080/17538947.2012.667159
  • Yang, B., Fang, L., Li, Q. and Li, J., 2012. Automated extraction of road markings from mobile lidar point cloud, Photogrammetric Engineering & Remote Sensing, 78(4): 331-338 (ASPRS: SCI).
  • Yang, B., Wei, Z., Li, Q. and Li, J. 2012. Automated extraction of street-scene objects from mobile lidar point clouds, International Journal of Remote Sensing, 33(18): 5839-5861 (Taylor & Francis: SCI).
Affiliation: 
University of Waterloo

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