Professor

J. LiRoom EV1-111, ext. 34504
junli@uwaterloo.ca

Jonathan joined the Department in 2007 having spent 5 years as an associate professor at Ryerson University and one year as an assistant professor at the University of Regina. His research interests are in urban remote sensing and geospatial data science, especially in intelligent extraction of geometric and semantic information for earth observation images and LiDAR point clouds using machine learning and deep learning algorithms. His recent research focuses on use of the inhomogeneous and unstructured point clouds acquired by LiDAR and photogrammetry to generate HD maps and digital terrain models to support the development in smart cities and autonomous vehicles. 

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


Key Areas of Graduate Supervision
Urban remote sensing using images acquired by multispectral, hyperspectral, and SAR sensors and point clouds acquired by LiDAR and photogrammetry; machine learning and deep learning algorithms and software tools for extraction of geometric and semantic information from images and point clouds; applied research in geospatial data science for environmental monitoring, infrastructure inspection, green space inventory, and disaster management

Recent Courses Taught
GEOG 215: China: Diverse and Dynamic
GEOG 310: Geodesy and Surveying
GEOG 316: Multivariate Statistics
GEOG 484 Machine Learning in Geospatial Science

GEOG 608: Urban Remote Sensing

Research Interests
My research interests lie mainly in the areas of remote sensing and geospatial data 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 methods and software tools, including GeoAI for multi-scale geospatial mapping and change detection, LiDAR point cloud processing for 3D urban modeling, mobile mapping solutions for outdoor and indoor mapping and 3D object detection, machine learning for intelligent processing of earth observation data, as well as novel remote sensing applications in transportation, utility, agriculture, resources and disaster management.

Recent Publications (see Google Scholar for updated list)

  1. LiDAR remote sensing and point cloud analytics
  • Ma L, *Li J, Li Y, Marcato Jr J, Gonçalves WN, Chapman MA, 2021. BoundaryNet: Extraction and completion of road boundaries with deep learning using MLS point clouds and satellite imagery, IEEE Transactions on Intelligent Transportation Systems, in press.
  • Lin H, Luo Z, Li W, *Chen Y, Wang C, *Li J, 2021. Adaptive pyramid context fusion for point cloud perception, IEEE Geoscience and Remote Sensing Letters, 10.1109/LGRS.2020.3037509.
  • Sha Z, *Chen Y, Lin Y, Wang C, Marcato Jr J, *Li J, 2021. A supevoxel approach to road boundary enhancement from 3D LiDAR point clouds, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2020.3037484.
  • Gao J, *Chen Y, Marcato Jr J, Wang C, *Li J, 2021. Automated extraction of urban road guardrails from mobile LiDAR point clouds, IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2020.3025067.
  • Ye C, Zhao H, Ma L, Jiang H, Li H, Wang R, Chapman M, Marcato Jr J, *Li J, 2021. Robust lane extraction from MLS point clouds towards HD maps especially in curve roads, IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2020.3028033.
  • Ma L, Li Y, *Li J, Yu Y, Marcato Jr J, Goncalves W, Chapman MA, 2021. Capsule-based networks for road marking extraction and classification from mobile LiDAR point clouds, IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2020.2990120.
  • Li Y, Ma L, Cao D, Chapman M, *Li J, 2021. Deep learning for LiDAR point clouds in autonomous driving: A review, IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2020.3015992.
  • Ma L, Li Y, *Li J, Tan W, Yu Y, Chapman M, 2021. Multi-scale point-wise convolutional neural networks for 3D object segmentation from LiDAR point clouds in large-scale urban environments, IEEE Transactions on Intelligent Transportation Systems, doi:10.1109/TITS.2019.2961060.
  • Luo Z, Liu D, *Li J, Chen Y, Xiao Z, Wang C, Marcato Jr J, Gonçalves, WN, 2020. Learning sequential slice representation with an attention-embedding network for 3D shape analysis in MLS point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 161, 147-163.
  • Wang S, *Cai G, Cheng M, Marcato Jr J, Huang S, Wang Z, Su S, Li J, 2020. Robust 3D reconstruction of building surfaces in point clouds based on structural and closed constraints, ISPRS Journal of Photogrammetry and Remote Sensing, 170, 29-44.
  • Lin Y, Li JL, *Wang C, Chen Z, Wang Z, Li J, 2020. Fast regularity-constrained plane reconstruction, ISPRS Journal of Photogrammetry and Remote Sensing, 161, 208-217.
  • Pan S, *Guan H, Yu Y, Gonçalves WN, Marcato Jr J, Li J, 2020. Landcover classification of multispectral LiDAR data using CNN with optimized hyper-parameters, ISPRS Journal of Photogrammetry and Remote Sensing, 166, 241-254.
  • Zhang W, Chen L, Xiong Z, *Zang Y, Li J, Zhao L, 2020. Large-scale point cloud contour extraction via 3D guided multi-conditional generative adversarial network, ISPRS Journal of Photogrammetry and Remote Sensing, 164, 97-105.
  • Ye C, *Li J, Jiang H, Zhao H, Ma L, Chapman M, 2020. Semi-automated generation of road transition lines using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 21(5), 1877-1890.
  • Xia S, Chen D, *Wang R, Li J, Zhang X, 2020. Geometric primitives in LiDAR point clouds: A review, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:10.1109/JSTARS.2020.2969119.
  • *Rastiveis H, Shams A, Sarasua WA, Li J, 2020. Automated extraction of lane markings from mobile LiDAR point clouds based on fuzzy inference, ISPRS Journal of Photogrammetry and Remote Sensing, 160, 149-166.
  • Zhang S,*Wang C, He Z, Li Q, Lin X, Zhang J, Yang C, Li J, 2020. Vehicle global 6-DoF pose estimation under traffic surveillance camera, ISPRS Journal of Photogrammetry and Remote Sensing, 159, 114-128.
  • Gong Z, Lin H, Zhang D, Luo Z, Zelek J, Chen Y, Wang C, *Li J, 2020. A frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera, ISPRS Journal of Photogrammetry and Remote Sensing, 159, 90-100.
  • *Wen C, Dai Y, Xia Y, Lian Y, Tan J, Wang C, Li J, 2020. Towards efficient 3-D colored mapping in GPS/GNSS-denied environments, IEEE Geoscience and Remote Sensing Letters, 17(1), 147-151.
  • Li Y, Ma L, Zhong Z, Cao D, *Li J, 2020. TGNet: Geometric graph CNN on 3D point cloud segmentation, IEEE Transactions on Geoscience and Remote Sensing, 58(5), 3588-3600.
  • *Yu Y, Guan H, Li D, Jin C, Wang C, Li J, 2020. Road manhole cover delineation using mobile laser scanning point cloud data, IEEE Geoscience and Remote Sensing Letters, 17(1), 152-156.
  • Yu Y, Guan H, Li D, Jin S, Chen T, Wang C, Li J, 2020. 3-D feature matching for point cloud object extraction, IEEE Geoscience and Remote Sensing Letters, 17(2), 322-326.
  • *Guan H, Yu Y, Dai F, Zang Y, Li J, 2020. A convolutional capsule network for traffic-sign recognition using mobile LiDAR data with digital images, IEEE Geoscience and Remote Sensing Letters, 17(6), 1067-1071.
  • *Yu Y, Guan H, Li D, Ma L, Li J, 2020. A hybrid capsule network for land cover classification using multispectral LiDAR data, IEEE Geoscience and Remote Sensing Letters, 17(7), 1263-1267.
  • Ye C, *Li J, Jiang H, Zhao H, Ma L, Chapman M, 2020. Semi-automated generation of road transition lines using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 21(5), 1877-1890.
  • Zhang Z, *Li J, Guo Y, Yang C, Wang C, 2020. 3D highway curve reconstruction from mobile laser scanning point clouds, IEEE Transactions on Intelligent Transportation Systems, 21(11), 4762-4772.
  • 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.
  • 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, 12(9), 3690-3700.
  • 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, 12(5), 1572-1586.
  • 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.
  • Zhang Z, *Li J, Guo Y, Li X, Lin Y, Xiao G, Wang C, 2019. Robust procedural model fitting with a new geometric similarity estimator, Pattern Recognition, 85, 120-131.
  • 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.
  • You C, *Wen C, Wang C, Li J, Habib A, 2019. Joint 2D-3D traffic sign landmark dataset for geo-localization using mobile laser scanning data, IEEE Transactions on Intelligent Transportation Systems, 20(7), 2550-2565.
  • 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, 15(11), 1790-1794.
  • 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, 11(9), 3358-3365.
  • 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.
  • 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, 143, 150-166.
  • 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, 56(7), 3631-3644.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  1. Environmental monitoring using optical and SAR images
  • Yu Q, Liu W, Gonçalves WH, Marcato Jr J, *Li J, 2021. Spatial resolution enhancement for large-scale land cover mapping via weakly supervised deep learning, Photogrammetric Engineering and Remote Sensing, in press.
  • Qing L, Petrosian HA, Fatholahi SN, Chapman MA, *Li J, 2021. Quantifying urban expansion using Landsat images and landscape metrics: A case study of Halton Region, Ontario, Geomatica, doi:10.1139/geomat-2020-0017.
  • Chen N, *Sui L, Zhang B, He H, Marcato Jr J, *Li J, 2021. Single image super-resolution reconstruction based on Bayesian nonparametric and nonlocally self-similar convolution sparse coding, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:101109/JSTARS.2020.3028774.
  • Zhong Z, *Li J, Clausi D, Wong A, 2020. Generative adversarial networks and conditional random fields for hyperspectral image classification, IEEE Transactions on Cybernetics, 50(7), 3318-3329.
  • Chen F, Fan Q, Lou S, Yang L, Wang C, Claverie M, Wang C, Marcato Jr J, Gonçalves WN, *Li, J, 2020. Characterization of MSS channel reflectance and derived spectral indices for building consistent Landsat 1-5 data record, IEEE Transactions on Geoscience and Remote Sensing, 58(12), 8967-8984.
  • Liu M, *Saari R, Zhou G, Liu X, *Li J, 2020. Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China, Atmospheric Environment, 238, 117745.
  • *Ramos A, Osco L, Furuya D, Gonçalves W, Cordeiro D, Teodoro L, da Silva Jr C, Capristo-Silva G, Li J, Baio F, Marcato Jr J, Teodoro P, Pistori H, 2020. A random forest ranking approach to predict yield in maize with UAV-based vegetation spectral indices, Computers and Electronics in Agriculture, 178, 105791.
  • Pirasteh S, Mollaee S, Fatholahi SN, *Li J, 2020. Estimation of phytoplankton chlorophyll-a concentrations in the western basin of Lake Erie using Sentinel-2 and Sentinel-3 data, Canadian Journal of Remote Sensing, 46(5), 585-602.
  • *Osco LP, Arruda MS, Junior JM, Silva NB, Ramos APM, Moryia EAS, Imai NN, Pereira DR, Creste JE, Matsubara ET, Li J, Gonçalves WN, 2020. A convolutional neural network approach to counting citrus trees in UAV multispectral imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 160, 97-106.
  • *Osco LP, Ramos APM, Pinheiro MMF, Moriya EAS, Imai NN, Estrabis N, Ianczyk F, Araújo FF, Liesenberg V, Jorge LAC, Li J, Ma L, Gonçalves WN, Marcato Jr J, Creste JE, 2020. A machine learning framework to predict nutrient content in citrus-leaves hyperspectral measurements, Remote Sensing, 12(6), 906.
  • Liu W, *Wang C, Chen S, Li W, Lin X, Li J, 2020. Learning to match ground camera image and UAV 3-D model-rendered image based on Siamese network with attention mechanism, IEEE Geoscience and Remote Sensing Letters, 17(9), 1608-1612.
  • Chen Z, Fan W; Zhong B, Li J, Du J, *Wang C, 2020. Coarse-to-fine road extraction based on local Dirichlet mixture models and multiscale-high-order deep learning, IEEE Transactions on Intelligent Transportation Systems, 21(10), 4283-4293.
  • Liu M, Zhou GX, Saari RK, Li S, Liu XN, *Li J, 2019. Quantifying PM2.5 mass concentration with particle radius based on optic-mass conversion algorithm using satellite data, ISPRS Journal of Photogrammetry and Remote Sensing, 158, 90-98.
  • Ye C, *Chen R, Li Y, Liu T, Diao K, Li J, 2019. Characterization of combined effects of urban built-up and vegetated areas on long-term urban heat islands in Beijing, Canadian Journal of Remote Sensing, 45(5), 634-649.
  • 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.
  • Ye C, *Li Y, Cui P, Liang L, Pirasteh S, Marcato Jr J, Gonçalves WN, Li J, 2019. Landslide detection of hyperspectral remote sensing data based on deep learning with constrains, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(12), 5047-5060.
  • *Osco LP, Ramos APM, Moriya ÉAS, Bavaresco LG, Lima BC, Pereira DR, Creste JE, Marcato Jr J, Gonçalves WN, Imai NN, Li J, Liesenberg V, Araújo FF, 2019. Modeling hyperspectral response of water-stress induced lettuce plants using artificial neural networks, Remote Sensing, 11, 2797.
  • Osco LP, Ramos APM, Pereira DR, Moriya EAS, Imai NN, Matsubara ET, Estrabis N, Souza M, Marcato Jr J, Gonçalves WN, Li J, Liesenberg V, Creste JE, 2019. Predicting canopy nitrogen content in citrus-trees using random forest algorithm associated to spectral vegetation indices from UAV-imagery, Remote Sensing, 11, 2925.
  • Batistoti JO, Marcato Jr J, Ítavo LCV, Matsubara ET, Gomes ENO, Oliveira BG, Souza M, Siqueira HL, Filho GRS, Akiyama TS, Gonçalves WN, Liesenberg V, Li J, Menezes Dias A, 2019. Estimating pasture biomass and canopy height in Brazilian savanna using UAV photogrammetry, Remote Sensing, 11, 2447.
  • Fan Q, *Chen F, Cheng M, Lou S, Xiao R, Zhang B, Wang C, Li J, 2019. Ship detection using a fully convolutional network with compact polarimetric SAR images, Remote Sensing, 11, 2171.
  • 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.
  • Gao J, *Guo Y, Lin Z, An W, Li J, 2018. Robust infrared small target detection using multiscale gray and variance difference measures, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12), 5039-5052.
  • 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): 1419-1432.
  • Luo L, *Zang Y, Wang X, Wang C, Li J, Wu S, Liu Y, 2018. Estimating road widths from remote sensing images, Remote Sensing Letters, 9(9), 819-828.
  • *Chen R, Li X, Li J, 2018. Object-based features for house detection from RGB high-resolution images, Remote Sensing, 10, 451.
  • 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.
  • 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.
  • 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.
  • Chen Z, *Wang C, Luo H, Wang H, Chen Y, Wen C, Yu Y, Cao L, Li J, 2016. Vehicle detection in high-resolution aerial images based on fast sparse representation classification and multi-order feature. IEEE Transactions on Intelligent Transportation Systems, 17(8), 2296-2309.
  • 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.
  • *Xu X, Tolson BA, Li J, Staebler RM, Seglenieks F, Haghnegahdar A, Davison B, 2015. Assimilation of SMOS soil moisture over the Great Lakes basin. Remote Sensing of Environment, 169: 163-175.
  • Wang L, Li W, Wang S, *Li J, 2015. Examining urban expansion in the Greater Toronto Area using Landsat imagery from 1974-2014. Geomatica, 69(2): 75-81.
  • Lu J, *Li J, Chen G, 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, 8(7): 3486-3496.
  • *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.
  • *Ming D, Li J, Wang J, Zhang M, 2015. Scale parameter selection by spatial statistics for GeOBIA: Using mean-shift based multi-scale segmentation as an example. ISPRS Journal of Photogrammetry and Remote Sensing, 106: 28-41.
Affiliation: 
University of Waterloo

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