Presentations at conferences

2023

• Nurunnabi AAM, Sadahiro Y, *Teferle FN, Laefer D, Li J, 2023. Detection and segmentation of pole-like objects in mobile laser scanning point clouds, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-27-2023.
• Zang Y, Huang G, ∗Liu W, Chen L, Wu D, Wang C, Li J, 2023. DeepUrbanModeller (DUM): A process-informed neural architecture for high-precision urban surface temperature prediction, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-71-2023.
• Zhang S, Huang W, *Chen Y, Zhang S, Zhang W, Li J, 2023. SPDC: A super-point and point combining based dual-scale contrastive learning network for point cloud semantic segmentation, MMT 2023, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-571-2023
• Hu K, Du J, Gong X, Ma L, *Li J, 2023. A comparative study of semantic segmentation using deep neural networks in a GNSS-denied underground parking lot, Advances in Cartography and GIScience of the ICA, DOI: 10.5194/ica-adv-4-18-2023.
• Hu K, *Li J, 2023. Using least cost path analysis to plan a new bypass route on Highway 401 to mitigate traffic congestion and impacts in the City of Toronto, Ontario, Advances in Cartography and GIScience of the ICA, DOI: 10.5194/ica-abs-6-94-2023.
• Chen D, Xiao J, Gao K, Lu Y, Fatholahi SN, Li J, 2023. Natural language-aided remote sensing image few-shot classification, IGARSS 2023, DOI: 10.1109/IGARSS52108.2023.10282538.
• Cai Y, He H, He Z, Chapman MA, Li J, Ma L, *Li J, 2023. Enhancing spatial resolution of building datasets using transformer-based single-image super-resolution, IGARSS 2023, DOI:10.1109/IGARSS52108.2023.10282510.
• Wang L, Lu D, Tan W, Chen Y, *Li J, 2023. Tree species classification using deep learning based 3D point cloud transformer on airborne lidar data, IGARSS 2023, DOI: 10.1109/IGARSS52108.2023.10282813.
• Liu X, Qiao S, Gao K, He H, Ma L, *Li J, 2023. Nighttime Light Missing Data Retrieval Using Modis Version 6 Satellite Data and Mask Dilated Partial Convolutional Neural Network, IGARSS 2023, DOI: 10.1109/IGARSS52108.2023.10283428.
• Yao Y, Fatholahi S, *Chen Y, *Li J, 2023. Indoor LiDAR point clouds upsampling for object detection enhancement, 2023 Joint Urban Remote Sensing Event (JURSE), DOI: 10.1109/JURSE57346.2023.10144181.
• Goncalves DN, Marcato Jr J, Zamboni P, Pistori H, Li J, Nogueira K, *Goncalves WN, 2023. MTLSegFormer: Multi-task Learning with transformers for semantic segmentation in precision agriculture, CVPR Workshops, pp. 6290–6298.
• Zhao Y, *Zhang S, Sun J, Chen J, Wang C, Li J, 2023. Automatic Image-to-color point cloud cross-modal registration based on graph neural networks and iterative reprojection, 56th IEEE International Symposium on Circuits and Systems (ISCAS 2023), DOI:10.1109/ISCAS46773.2023.10182171.

2022

• Liu W, Guo HY, Zhang W, *Zang Y, Wang C, Cheng, Li J, 2022. TopoSeg: Topology-aware segmentation for point clouds, IJCAI 22, July 23-29, Vienna, Austria, pp. 1201-1208,
• Wang L, Wang J, Fatholahi SN, Chapman MA, *Li J, 2022. Assessing the impact of COVID-19 on human activities in the Greater Toronto Area by nighttime light images and active COVID-19 cases, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22.
• He H, Xu H, Zhang Y, Chapman MA, *Li J, 2022. Automated detection of oil/gas well sites detection from multi-source high spatial resolution images, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22.
• Li L, *Luo H, Fan W, Guo W, Wang C, Li J, 2022. Object classification in point cloud via Conditional Adversarial Domain Adaptation for forest inventory, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22.
• He Z, He H, Li J, Chapman MA, Ding H, 2022. A short-cut connections-based neural network for building extraction from high resolution orthoimagery, ISPRS Archives, XLIII-B1-2022, 39-44, ISPRS 2022 Congress, Nice, France, June 6-11, doi:10.5194/isprs-archives-XLIII-B1-2022-39-2022.
• He H, Gao K, Tan W, Wang L, Fatholahi SN, Chen N, Chapman MA, *Li J, 2022. Impact of deep learning-based super-resolution on building footprint extraction, ISPRS Archives, XLIII-B1-2022, 31-37, doi:10.5194/isprs-archives-XLIII-B1-2022-31-2022
• Wang L, Tan W, He H, Chen N, Chapman MA, *Li J, 2022. Deep learning-based method to extend the time series of annual VIIRS-like nighttime light data, ISPRS Archives, XLIII-B1-2022, 73-78, doi:10.5194/isprs-archives-XLIII-B1-2022-73-2022.
• Liu M, Zhou G, Liu Z, *Han L, Li J, 2022. Changes of spatial disparities in satellite-derived PM2.5 exposures over 2010-2019 in China, ISPRS Annals, V-3-2022, 297-302, doi:10.5194/isprs-annals-V-3-2022-297-2022.
• Fatholahi SN, Pan C, Wang L, *Li J, 2022. Spatial modeling of COVID-19 incidence rate in Canada, ISPRS Archives, XLIII-B4-2022, 111-116, doi.org/10.5194/isprs-archives-XLIII-B4-2022-111-2022.
• *Nurunnabi A, Teferle FN, Lindenbergh RC, Li J, Zlatanova S, 2022. Robust approach for urban road surface extraction using mobile laser scanning 3D point clouds, ISPRS Archives, XLIII-B1-2022, 59-66, doi:10.5194/isprs-archives-XLIII-B1-2022-59-2022.

2021

• Luo Z, Zhang Z, Li W, Lin H, *Chen Y, Wang C, Li J, 2021. A local topological information aware based deep learning method for ground filtering from airborne lidar data (.pdf), IGARSS 2021, Brussels, Belgium, July 11-16, oral, 7728-7731.
• Lai B, *Liu W, Wang C, Chen S, Bian X, Lin X, Wen C, Li J, 2021. Metric learning for 2D image patch and 3D point cloud volume matching (.pdf), IGARSS 2021, Brussels, Belgium, July 11-16, oral, pp. 3416-3419.
• Fatholahi S, He H, Wang L, Syed A, *Li J, 2021. Monitoring surface deformation over oilfields using MT-InSAR and production well data (.pdf), IGARSS 2021, oral, pp. 2298-2301.
• Tan W, Zhang D, Ma L, Wang L, Chen Y, *Li J, 2021. Semantic segmentation of UAV LiDAR point clouds of a stack interchange with deep neural networks (.pdf), IGARSS 2021, Brussels, Belgium, July 11-16, oral, pp. 582-585.
• Marcato Jr J, Zamboni P, Campos M, Ramos A, Osco L, Silva J, Gonçalves W, Li J, 2021. Integration of photogrammetry and deep learning in earth observation applications (.pdf), IGARSS 2021, Brussels, Belgium, July 11-16, oral, 574-577.
• Zhu W, Tan W, Ma L, Zhang D, *Li J, Chapman MA, 2021. A capsule network approach to pavement crack detection using mobile laser scanning point clouds (.pdf), Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 43 (B1), pp. 39–44, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-39-2021.
• Nurunnabi AAM, Teferle FN, Li J, Lindenbergh RC, Hunegnaw A, 2021. An efficient deep learning approach for ground point filtering in aerial laser scanning point clouds (.pdf), Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 43(B1), pp. 31–38. https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-31-2021.
• Qin N, Tan W, Ma L, Zhang D, *Li J, 2021. OpenGF: An ultra-large-scale ground filtering dataset built upon open ALS point clouds around the world (.pdf), CVPRW 2021, pp. 1082-1091.
• Deng S, Feng Y, *Wei M, Xie H, Chen Y, Li J, Zhang X, Qin J, 2021. Direction-aware feature-level frequency decomposition for single image deraining (.pdf), IJCAI-21, pp. 650-656. https://www.ijcai.org/proceedings/2021/0090.pdf.

2020

• Li W, Zhang Z, Luo Z, Xiao Z, Wang C, *Li J, 2020. Extraction of power lines and pylons from lidar point clouds using a GCN-based method (.pdf), IGARSS 2020, Sept 26-Oct 2, pp. 2767-2770, DOI: 10.1109/IGARSS39084.2020.9323218.
• Liu D, Luo Z, Xiao Z, *Li J, 2020. Extracting vehicles in point clouds of underground parking lots based on graph convolution (.pdf), IGARSS 2020, Sept 26-Oct 2, pp. 1695-1698, DOI: 10.1109/IGARSS39084.2020.9323086. 
• Sha Z, Zhu Q, *Chen Y, Wang C, Nurunnabi A, *Li J, 2020. A boundary-enhanced supervoxel method for 3D point clouds (.pdf), IGARSS 2020, Sept 26-Oct 2, pp. 2771-2774, DOI: 10.1109/IGARSS39084.2020.9323330.
• Tan W, *Sinha A, Li Y, Ma L, Li J, 2020. Early-season crop classification with RADARSAT-2 Polarimetric Synthetic aperture radar imagery (.pdf), IGARSS 2020, Sept 26-Oct 2, pp. 4167-4170, DOI: 10.1109/IGARSS39084.2020.9324480.
• Qing L, Yang K, Tan W, *Li J, 2020. Automated detection of manhole covers in MLS point clouds using a deep learning approach (.pdf), IGARSS 2020, Sept 26-Oct 2, pp.1580-1583, DOI: 10.1109/IGARSS39084.2020.9324137.
• Zhong Z, Lin Z, Bidart R, Hu X, Daya IB, Li Z, Zheng W, *Li J, Wong A, 2020. Squeeze-and-attention networks for semantic segmentation (.pdf), CVPR, pp. 13065-13074, doi:10.1109/CVPR42600.2020.01308.
• Guan H, Yu Y, Li D, Li J, 2020. Automatic traffic sign detection and recognition using mobile lidar data with digital images (.pdf), ISPRS Archives, 500-603, 10.5194/isprs-archives-XLIII-B3-2020-599-2020
• Pirasteh S, Shamsipour G, Liu G, Hajibagher R, Ghasemzadeh A, Jokar M, Zarbakhsh H, Behnamfar F, Li, Jonathan, 2020. Cloud-based geospatial platform in support of sustainable development goals 2030: How to be prepared for earthquake disasters? (.pdf), ISPRS 2020, ISPRS Archives, XLIII-B3-2020, 1705–1708, doi: 10.5194/isprs-archives-XLIII-B3-2020-1705-2020.
• Fatholahi SN, Gu Y, Liu M, Ma L, Chen Y, *Li J, 2020. Estimating PM2.5 concentrations in British Columbia, Canada during wildfire season using satellite optical data (.pdf), ISPRS Annals, V-1-2020, 71–79, doi:10.5194/isprs-annals-V-1-2020-71-2020.
• Wu H, Xie Z, Wen C, *Wang C, Li J, 2020. On-road information extraction from LiDAR data via multiple feature maps (.pdf), ISPRS Annals, V-1-2020, 207–213, doi:10.5194/isprs-annals-V-1-2020-207-2020.
• Liu W, Lai B, *Wang C, Bian X, Yang W, Xia Y, Lin X, Lai SH, Weng D, Li J, 2020. Learning to match 2D images and 3D LiDAR point clouds for outdoor augmented reality (.pdf), IEEE Conference on VRW, doi:10.1109/VRW50115.2020.00178.
• Tan W, Qin N, Ma L, Li Y, Du J, Cai G, *Li J, 2020. Toronto-3D: A large-scale mobile LiDAR dataset for semantic segmentation of urban roadways (.pdf), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020, pp. 202-211.

2019

• Li Q, Chen S, *Wang C, Li X, Wen C, Cheng M, Li J, 2019. LO-Net: Deep real-time LiDAR odometry (.pdf), CVPR 2019, pp. 8473-8482.  DOI:10.1109/CVPR.2019.00867.
• Shen X, *Wang C, Yu Z, Li X, Li J, Wen C, Cheng M, He Z, 2019. RF-Net: An end-to-end image matching network based on receptive field (.pdf), CVPR 2019, pp. 8132-8140. DOI:10.1109/CVPR.2019.00832.
• Chen H, Luo Y, *Cao L, Zhang B, Guo G, Wang C, Li J, Ji R, 2019. Generalized zero-shot vehicle detection in remote sensing imagery via coarse-to-fine framework, IJCAI-19, pp. 687-693.
• Chen L, Kang Z, Dai W, *Zhang Z, Wang C, Li J, 2019. Optimal bandwidth allocation for data transmission in virtual data centers (.pdf), HPCC/SmartCity/DSS, pp. 1178-1187, DOI:10.1109/HPCC/SmartCity/DSS.2019. 00166.
• Guo Y, *Wen C, Sun X, Wang C, Li J, 2019. Partial 3D object retrieval and completeness evaluation for urban street scene (.pdf), IGARSS 2019, pp. 1252-1255, DOI: 10.1109/IGARSS.2019.8898701.
• Zeng H, Chen Y, Zhang Z, Wang C, *Li J, 2019. Reconstruction of 3D zebra crossings from mobile laser scanning point clouds (.pdf)​​​​​​, IGARSS 2019, pp. 1899-1902. DOI: 10.1109/IGARSS.2019.8899336.
• Liu M, Zhou G, Liu X, Saari R, *Li J, 2019. Long-term trend of ground-level PM2.5 concentrations over 2012-2017 in China (.pdf), IGARSS 2019, pp. 7842-7845. DOI: 10.1109/IGARSS.2019.8900405.
• Lian Y, *Wen C, Wang C, Li J, 2019. Non-reference quality evaluation for indoor 3D point clouds (.pdf), IGARSS 2019, pp. 8968-8971, DOI: 10.1109/IGARSS.2019.8900634.
• Zhang D, Gong Z, Che Y, Zelek J, *Li J, 2019. SLAM-based multi-sensor backpack LiDAR systems in GNSS-denied environments (.pdf), IGARSS 2019, pp. 8984-8987, DOI: 10.1109/IGARSS.2019.8898669.
• Zhang S, *Wang C, Cheng M, Li J, 2019. Automated visibility field evaluation of traffic sign based on 3D lidar point clouds (.pdf), ISPRS Geospatial Week, XLII-2/W13, 1185-1190.
• Li Q, *Wang C, Li X, Wen, C, Cheng M, Li J, 2019. Deep real-time LiDAR odometry and mapping (.pdf), ISPRS Geospatial Week 2019, XLII-2/W13, 1681-1686.
• *Guan H, Yu Y, Yan W, Zang Y, Li D, Li J, 2019. 3D-CNN based tree species classification using mobile LiDAR data (.pdf), ISPRS Geospatial Week, XLII-2/W13, 989-993.
• Lin W, *Chen Y, Wang C, Li J, 2019. Using EdgeConv to improve 3D object detection from RGB-D data (.pdf), ISPRS Geospatial Week 2019, ISPRS Archive, XLII-2/W13, 835-839.
• Ma L, Chen Z, Li Y, Zhang D, *Li J, Chapman M, 2019. Multispectral airborne laser scanning point-clouds for land cover classification using convolutional neural networks (.pdf), ISPRS Geospatial Week 2019, ISPRS Archive, XLII-2/W13, 79-86.

2018

• Zhong Z, Li J., 2018. Generative adversarial networks and probabilistic graph models for hyperspectral image classification (.pdf), 32nd AAAI Conference on Artificial Intelligence (AAAI-18), February 2–7, New Orleans, Louisiana, pp. 8191-8192. 
• Chen L, Fan X, Wang L, Zhang D, Yu Z, Li J, Nguyen T, Pan G, Wang C, 2018. RADAR: Road Obstacle Identification for Disaster Response Leveraging Cross-Domain Urban Data (.pdf). Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(4), 130.
• Zhou G, Liu M, *Liu X, Li J, 2018. Combination of crop growth model and radiation transfer model with remote sensing data assimilation for FAPAR estimation (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, pp. 1882-1885.
• Wu R, *Chen Y, Wang C, Li J, 2018. Estimation of forest trees diameter from terrestrial laser scanning point clouds based on a circle fitting method (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #3773, pp. 2821-2824.
• Fan Q, *Chen F, Cheng M, Wang C, Li J, 2018. A modified framework for ship detection from compact polarization SAR images (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #1908, pp. 3547-3550.
• Zhou M, Ma L, Li Y, *Li J, 2018. A modified framework for ship detection from compact polarization SAR images (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, oral #1210, pp. 4308-4311.
• Shen X, *Wang C, Wen C, Liu W, Sun X, Li J, 2018. Discriminative learning of point cloud feature descriptors based on Siamese network (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #1635, pp. 4523-4526.
• Li Y, Ma L, Huang Y, *Li J, 2018. Segment-based traffic sign detection from mobile laser scanning data (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #1481, pp. 4611-4614.
• Ye W, *Li J, 2018. A comparison of ice freeboard measurement by ICESAT and ENVISAT altimeters (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #3336, pp. 7101-7104.
• Zhang S, Kang Z, Hong Z, *Zhang Z, Wang C, Li J, 2018. Traffic flow prediction based on cascaded artificial neural network (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #2530, pp. 7236-7239.
• Wang X, *Zang Y, Wang C, Li J, 2018. Rural road networks matching via expanding line (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #2393, 7423-7426.
• Feng Y, *Wen C, Huang P, Wang C, Li J, 2018. Health analysis of individual tree in urban environment with combined LiDAR and hyperspectral data (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #2538, pp. 7552-7555.
• Chen M, Gu Y, Liu M, *Li J, 2018. Estimating PM 2.5 in British Columbia, Canada before and after wildfires using 3 km MODIS AOD products from February to August 2017 (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, poster #3135, pp. 7589-7592.
• Chen F, *Cheng M, Li J, Wang C, Claverie M, 2018. A comparison of Sentinel-2A and Sentinel-2B with preliminary results (.pdf), IGARSS 2018, July 23–27, Valencia, Spain, oral #1789, pp. 8226-8229.
• Lin W, Shen X, *Wang C, Zhang Z, Wen C, Li J, 2018. H-Net: Neural Network for Cross-domain Image Patch Matching (.pdf), IJCAI 2018, July 13-19, Stockholm, Sweden. pp.856-863.
• Chen Y, Wang J, *Li J, *Lu C, Luo Z, Xue H, Wang C, 2018. LIDAR-Video Driving Dataset: Learning Driving Policies Effectively (.pdf), CVPR 2018, Salt Lake City, Utah, 18 - 22 June, pp. 5870-5878.

2017

• Xia Z, *Zang Y, Wang C, Li J, 2017. Road width measurement from remote sensing images (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 902-905.
• Hong Z, Luo Z, Li J, *Deng Z, Chen Y, Xiao Z, 2017. Use of ground penetrating radar for detecting underground holes in urban areas: XMU's experience (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 4821-4824.
• Li W, *Wang C, Zai D, Huang P, Liu W, Li J, 2017. An efficiently volumetric fusing method for structure-frame-motion and terrestrial point clouds (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July., pp. 6036-6039.
• Li G, *Chen Y, Wen C, Wang C, Li J, Chen J, 2017. Quality evaluation of point cloud model for interior structure of a common building (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 6040-6043.
• You C, *Wen C, Luo H, Wang C, Li J, 2017. Rapid traffic sign damage inspection in natural scenes using mobile laser scanning data (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 6271-6274.
• Li Y, Chen Z, Li J, 2017. How many people died due to PM2.5 and where the mortality risks increased? A case study in Beijing (.pdf), IGARSS 2017, Fort Worth, Taxes, 23-28 July, pp. 485-488.
• *Zhong Z, Li J, Ma L, Jiang H, Zhao H, 2017. Deep residual networks for hyperspectral image classification (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 1824-1827.
• Liu J, Xiao Z, *Chen Y, Huang P, Wu R, Li J, 2017. Automated extraction of urban roadside trees from mobile laser scanning point clouds based on a voxel growing method (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 1832-1835.
• Chen F, Li J, Wang C, 2017. Post-typhoon assessment of surface greenness disturbance using Landsat series observations (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 3499-3502.
• Kou C, Zhao C, Yang F, Li J, Liu Y, Zeng F, 2017. Combining optical-thermal remote sensing data and topographic slope for the identification of debris-covered glaciers (.pdf), IGARSS 2017, Fort Worth, Taxes, USA, 23-28 July, pp. 3589-3592.

2016

• *Cao L, Ji R, Wang C, Li J, 2016. Towards domain adaptive vehicle detection in satellite image by supervised super-resolution transfer (.pdf), 30th AAAI Conference on Artificial Intelligence, February 12–17, Phoenix, Arizona, USA, pp. 1138-1144 (AAAI: EI)
• Chen X, *Li J, 2016. A feasibility study on use of generic mobile laser scanning system for detecting asphalt pavement cracks (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B1, 545–549 (ISPRS: EI).
• Chen Y, Li Y, *Li J, 2016. Investigating the influence of tree coverage on property crime: a case study in the City of Vancouver, British Columbia, Canada (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B2, 695–702 (ISPRS: EI).
• Chen Z, Cao L, Yu Z, Chen Y, Wang C, Li J, 2016. Vehicle detection from high-resolution aerial images based on superpixel and color name features (.pdf), CVRS 2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234762 (SPIE: EI).
• Cui W, Wang G, Feng C, Zheng Y, Li J, Zhang Y, 2016. SPMK and GrabCut based target extraction from high resolution remote sensing images (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B7, 195-203 (ISPRS: EI).
• Gong Z, *Li J, Li W, 2016. A low cost indoor mapping robot based on tinySLAM algorithm, IGARSS 2016, July 10-15, Beijing, China, pp. 4549-4552 (IEEE: EI)
• *Guan H, Cao S, Yu Y, Li J, Liu N, Chen P, Li Y, 2016. Street-scene tree segmentation from mobile laser scanning data (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B3, 221-225 (ISPRS: EI).
• Guan H, *Li J, Yu Y, Liu Y, 2016. Geometric validation of a mobile laser scanning system for urban applications (.pdf), CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234907 (SPIE: EI).
• Huang F, Wen C, Wang C, Li J, Feature selection for quality assessment of indoor mobile mapping point clouds (.pdf). CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234945 (SPIE: EI).
• Jiang H, Smith A, Zhong Z, Li J, 2016. Determining the effect of spatial resolution in land use classification using optical aerial imagery, IGARSS 2016, July 10-15, Beijing, China.(IEEE: EI)
• Li J, Yu Y, Guan, Gong Z, 2016. Extraction of tree crowns from mobile laser scanning data using a marked point process model (.pdf). CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234853 (SPIE: EI).
• Li P, *Zang Y, Wang C, Li J, Cheng M, Luo L, Yu Y, 2016. Road network extraction via deep learning and line integral convolution, IGARSS 2016, pp. 1599-1602 (IEEE: EI).
• Li Y, Wang J, Chen C, Chen Y, *Li J, 2016. Estimating PM2.5 in the Beijing-Tianjin-Hebei Region using MODIS AOD products from 2014 to 2015 (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B2, 721-727 (ISPRS: EI).
• Liu X, Jia H, *Cao L, Wang C, Li J, Cheng M, 2016. Superpixel-based coastline extraction in SAR images with speckle noise removal, IGARSS 2016, July 10-15, Beijing, China, pp. 1034-1037 (IEEE: EI)
• Luo H, *Wang C, Wang H, Chen Z, Zai D, Zhang S, Li J, 2016. Exploiting location information to detect light pole in mobile LiDAR point clouds, IGARSS 2016, July 10-15, Beijing, China, pp. 453-456 (IEEE: EI)
• Ma L, Zhao H, *Li J, 2016. Examining urban expansion using multi-temporal Landsat imagery: a case study of the Montreal Census Metropolitan Area, Canada from 1975 to 2015 (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B8, 965-972 (ISPRS: EI).
• Sun Y, *Wang C, Li J, Zhang Z, Zai D, Huang P, Wen C, 2016. Automated segmentation of lidar point clouds for building rooftop extraction (.pdf), IGARSS 2016, July 10-15, Beijing, China, pp. 1472-1475 (IEEE: EI).
• Wei B, Cheng M, Wang C, Li J, 2016. Combinative hypergraph learning on oil spill training dataset. CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234854 (SPIE: EI).
• Weng S, Li J, Chen Y, Wang C, 2016. Road traffic sign detection and classification from mobile LiDAR point clouds (.pdf). CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234911 (SPIE: EI).
• Wu F, Wen C, Li J, 2016. Automated extraction of urban trees from mobile LiDAR point clouds (.pdf), CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234795 (SPIE: EI).
• Wu R, Chen Y, Wen C, Wang C, Li J, 2016. Delineation of individual tree crowns for mobile laser scanning data (.pdf). CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234909 (SPIE: EI).
• Xiang Q, Li J, Wen C, Huang P, 2016. Extraction of power lines from mobile laser scanning data (.pdf). CVRS2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234848 (SPIE: EI).
• Zai D, *Guo Y, Li J, Luo H, Lin Y, Sun Y, Huang P, Wang C, 2016. 3D road surface extraction from mobile laser scanning point clouds, IGARSS 2016, July 10-15, Beijing, China, pp. 1595-1598 (IEEE: EI)
• Zhang H, Li J, *Cheng M, Wang C, 2016. Rapid inspection of pavement markings using mobile lidar point clouds (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B1, 717–723 (ISPRS: EI).
• Zhang H, Wang C, Chen Y, Jia F, Li J, 2016. Benchmark on outdoor scenes (.pdf), CVRS 2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234860 (SPIE: EI).
• Zhang P, Cao L, Wang C, Li J, 2016. Semi-supervised feature learning for hyperspectral image classification (.pdf). CVRS 2015, April 29-30, Xiamen, China, DOI: 10.1117/12.2234855 (SPIE: EI).
• Zhang S, *Wang C, Yang Z, Chen Y, Li J, 2016. Automatic railway power line extraction using mobile laser scanning data (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B5, 615-619 (ISPRS: EI).
• Zhang Z, *Li J, Li X, Lin Y, Zhang S, Wang C, 2016. A fast method for measuring the similarity between 3D model and 3D point cloud (.pdf), ISPRS Achieves, XLI-B1, July 12-19, Prague, Czech, 725–728 (ISPRS: EI).
• Zhao H, Ma L, Wang L, Li J, 2016. Examining urban expansion using multi-temporal Landsat imagery: a case study of Montreal Census Metropolitan Area, IGARSS 2016, July 10-15, Beijing, China. (IEEE: EI).
• Zhong Z, Li J, Cui W, Jiang H, 2016. Fully convolutional networks for building and road extraction: preliminary results, IGARSS 2016, July 10-15, Beijing, China.(IEEE: EI).
• *Zou X, Zhao G, Li J, Yang Y, Fang Y, 2016. 3D land cover classification based on multispectral lidar point clouds (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B1, 741–747 (ISPRS: EI).
• *Zou X, Zhao G, Li J, Yang Y, Fang Y, 2016. Object-based image analysis combining high spatial resolution imagery and laser point clouds for urban land cover (.pdf), ISPRS Achieves, July 12-19, Prague, Czech, XLI-B3, 733-739 (ISPRS: EI).

2015

• Chen K, *Cheng M, Zhou M, Chen X, Chen Y, Li J, Nie H, 2015. Automated object extraction from MLS data: a survey (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 5375-5378 (IEEE: EI).
• Fan X, He B, Wang C, *Li J, Cheng M, Liu X, 2015. Big data analytics and visualization with spatio-temporal correlations for traffic accidents (.pdf), 15th International Conference on Algorithms and Architectures for Parallel Processing, November 18-20, Zhangjiajie, China, Lecture Notes in Computer Science, 9529, pp. 255-268 (Springer Link: EI).
• *Guan H, Yu Y, Li J, 2015. A Tensor Voting Approach to Dark Spot Detection in RADARSAT-1 Intensity Imagery (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 3160-3163 (IEEE: EI).
• Huang P, *Chen Y, Li J, Yu Y, Wang C, Nie H, 2015. Extraction of street trees from mobile laser scanning point clouds based on subdivided dimensional features (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 557-560 (IEEE: EI).
• Tan W, Liao R, Du Y, Lu J, Li J, 2015. Improving urban impervious surface classification by combining Landsat and PolSAR images: a case study in Kitchener-Waterloo, Ontario, Canada (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 1917-1920 (IEEE: EI).
• Wang L, Li J, Duguay C, Li D, 2015. Evaluation of regional-scale snow albedo characteristics during winter season from 2003 to 2014 (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 743-746 (IEEE: EI).
• Wu S, *Wen C, Luo H, Chen Y, Wang C, Li J, 2015. Using mobile lidar point clouds for traffic sign detection and sign visibility estimation (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 565-568 (IEEE: EI).
• Zai D, *Chen Y, Li J, Yu Y, Wang C, Nie H, 2015. Inventory of 3D Street Lighting poles Using Mobile Laser Scanning Point Clouds (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 573-576 (IEEE: EI).
• Zhang Z, *Cheng M, Chen X, Zhou M, Chen Y, Li J, Nie H, 2015. Turning mobile laser scanning points into 2D/3D on-road object models: current status (.pdf), IGARSS 2015, July 26-31, Milan, Italy, pp. 3524-3527 (IEEE: EI).
• *Zou X, Zhao G, Li J, Yang Y, Fang Y, 2015. A multi-view matching algorithm for processing mobile sequence images, 9th International Symposium on Mobile Mapping Technology, December 11-13, Sydney, Australia, 7pp.

2014

• Yu Y, Li J, Guan H, Zai D, Wang C, 2014. Detection and localization of 3D traffic signposts using mobile laser scanning data, ISPRS Archives, TC I Symposium, Denver, USA, 17-20 Nov 2014.
• Wen C, Lin S, Wang C, Li J. 2014. Planar surface segmentation using a color-enhanced hybrid model for rgb-d camera-based indoor mobile mapping point clouds, ISPRS Annals, Vol. II-1, 61-67.
• Lu M, Zhao J, Guo Y, Ou J, Li J, 2014. A 3D point cloud registration algorithm based on fast coherent point drift, 43th IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington DC, 14-16 Oct. 2014, doi: 10.1109/AIPR.2014.7041917 (IEEE: EI).
• Zai D, Li J, Yu Y, Guan H, Wang C, 2014. Rapid update of road features using a mobile lidar system, ITSC 2014, October 8-11, Qingdao, China, pp. 1982-1987 (IEEE: EI).
• Wang H, Wang C, Chen Y, Yang W, Li J, 2014. Extracting road surface from mobile laser scanning point clouds in large scale urban environment, ITSC 2014, October 8-11, Qingdao, China, pp. 2912-2917 (IEEE: EI)>
• Guan H, Li J, Zhou Y, Yu Y, Wang C, Wen C, 2014. Automatic extraction of power lines from mobile laser scanning data, IGARSS 2014, July 13-18, Québec City, Québec, pp. 918-921 (IEEE: EI).
• Wang H, Li J, Wang L, Guan H, Geng Z, 2014. Automated mosaicking of UAV images based on SFM method, IGARSS 2014, July 13-18, Québec City, Québec, pp. 2633-2636 (IEEE: EI).
• Yu Y, Li J, Guan H, Wang C, 2014. 3D crack skeleton extraction from mobile lidar point clouds, IGARSS 2014, July 13-18, Québec City, Québec, pp. 914-917 (IEEE: EI).
• Lu M, Guo Y, Zhang J, Wan J, Li J, 2014. Automatic markerless registration of mobile lidar point-clouds, IGARSS 2014, July 13-18, Québec City, Québec, pp. 173-176 (IEEE: EI).
• Lu J, Li J, Lu M, Li Z, Xiong B, Kuang G, 2014. Detecting floods in SAR images without interference of reference image, IGARSS 2014, July 13-18, Québec City, Québec, pp. 3590-3593 (IEEE: EI).
• Jia F, Li J, Wang C, Yu Y, Cheng M, Zai D, 2014. Earthwork volumes estimation in asphalt pavement reconstruction using a mobile laser scanning system, IGARSS 2014, July 13-18, Québec City, Québec, pp. 922-925 (IEEE: EI).
• Wang L, Wang S, Li W, Li J, 2014. Monitoring urban expansion of the Greater Toronto Area from 1985 to 2013 using Landsat images,IGARSS 2014, July 13-18, Québec City, Québec, pp. 4264-4267 (IEEE: EI).
• Li W, Wang S, Li J, 2014. Object based building extraction by QuickBird image for population estimation, IGARSS 2014, July 13-18, Québec City, Québec, 3176-3179 (IEEE: EI).
• Wang, S, Li W, Li J, 2014. Using high resolution remote sensing image to help population estimation in small cities, IGARSS 2014, July 13-18, Québec City, Québec, 3172-3175 (IEEE: EI).
• Xu X, Li J, Tolson B, Staebler RM, Seglenieks F, Davison B, Haghnegahdar A, Soulis ED, 2014. Assimilation of SMOS soil moisture in the mesh model with the ensemble Kalman filter,IGARSS 2014, July 13-18, Québec City, Québec, pp. 3766-3769 (IEEE: EI).
• Chen S, Wang C, Teng X, Cao L, Li J, 2014. Oil spill detection based on a superpixel segmentation method for SAR images, IGARSS 2014, July 13-18, Québec City, Québec, pp. 1725-1728 (IEEE: EI).
• Yu Y, Li J, Guan H, Zai D, Wang C, 2014. Automated extraction of 3D trees from mobile lidar point clouds, ISPRS Archives, TC V Symposium, 23-25 June 2014, Riva del Garda, Italy, vol. XL-5, 629-632.
• Guan H, Yu Y, Zhang H, Li J, Wang C, 2014. Automated extraction of road surface information from mobile laser scanning point clouds: state-of-the-art, FIG 2014 Congress, Kuala Lumpur, Malaysia, 16-21 June 2014
• Li J, Guan H, Yu Y, Wang C, Jia F, 2014. Mapping a tropical marine environment using a vessel-borne mobile laser scanning system: a pilot study, FIG 2014 Congress, June 16-21, Kuala Lumpur, Malaysia.

2013

• Wen C, Qi C, Li J, Wang C, 2013. 3D indoor mapping using a mobile mapping system for indoor disaster search and rescue, Gi4DM 2013, Hanoi, Vietnam, 9-11 December 2013.
• Li J, Yu Y, Guan H, Wang C, Wen C, 2013. Mobile lidar for updating road safety databases, Gi4DM 2013, December 9-11, Hanoi, Vietnam.
• Guan H, Li J, Yu Y, Wang C, 2013. Rapid update of road surface databases using mobile LiDAR: road markings, GiT4NDM 2013, October 9-11, Mississauga, Ontario, doi: 10.1109/GIT4NDM.2013.22, pp. 124-129 (IEEE: EI).
• Yu Y, Li J, Guan H, Wang C, 2013. Automated detection of road manhole covers from mobile LiDAR point-clouds based on a marked point process, GiT4NDM 2013, October 9-11, Mississauga, Ontario, pp. 130-136, doi: 10.1109/GIT4NDM.2013.23 (IEEE: EI).
• Zolfaghari K, Shang J, McNairn H, Li J, Homyouni S, 2013. Using support vector machine (SVM) for agriculture land use mapping with SAR data: preliminary results from Western Canada, Agro-Geoinformatics 2013, August 12-16, Fairfax, VA, doi:10.1109/Argo-Geoinformatics.2013. 6621893, pp. 126-130 (IEEE: EI).
• Ma X, Wang C, Sun Z, Li J, 2013. Hyperspectral image classification using primal Laplacian SVM in preconditioned conjugate gradient solution, IGARSS 2013, July 21-26, Melbourne, Australia, pp. 1434-1437 (IEEE: EI).
• Li J, Yu Y, Guan H, Wang C, 2013. Extraction of tree crowns from mobile laser scanning data using a marked point process model,MMT2013, May 1-3, Tainan, Taiwan, 6pp.
• Yu Y, Li J, Guan H, Wang C, 2013. Detection of road surface cracks from mobile laser scanning data, MMT2013, May 1-3, Tainan, Taiwan, 6pp.
• Xiang Q, Li J, Yang B, Guan H, Yu Y, 2013. Extraction of power lines from mobile laser scanning data, MMT2013, May 1-3, Tainan, Taiwan, 6pp.
• Guan H, Li J, Chapman MA, Yu Y, Wang C, 2013. Geometric validation of a mobile laser scanning system for urban applications,MMT2013, May 1-3, Tainan, Taiwan, 6pp.
• Chen J, Wang C, Li J, 2013. Miscolor correction for tree in colored terrestrial mobile laser scanning point cloud, MMT2013, May 1-3, Tainan, Taiwan, 6pp.

2012

• Yang W, Li J, Wang Z, 2012. A multi-scale approach to rapid transmission of vector river network data via the Internet,GIWRM2012, October 19-21, Lanzhou, China, 10.1109/GIWRM.2012.6349566 (IEEE: EI).
• He J, Li J, Yan H, 2012. Design and implementation of data management subsystem in environmental sensor networks,GIWRM2012, October 19-21, Lanzhou, China, 10.1109/GIWRM.2012.6349612 (IEEE: EI).
• Li P, Cai Z, Wang H, Sun Z, Yi Y, Wang C, Li J, 2012. Scale invariant kernel-based tracking, CVRS2012, December 16-18, Xiamen, China, doi:10.1109/CVRS.2012.6421270 (IEEE: EI).
• Yu Y, Li J, Guan H, Wang C, Cheng M, 2012. A marked point process for automated tree from mobile laser scanning point cloud data, IEEE CVRS2012, December 16-18, Xiamen, China, 140-145 (IEEE: EI).
• Li P, Wang C, Sun Z, Wang H, Li J, 2012. Cascade framework for object extraction in sequences, CVRS2012, December 16-18, Xiamen, China, 10.1109/CVRS.2012.6421233 (IEEE: EI).
• Wang H, Cai Z, Luo H, Wang C, Li P, Yang W, Ren S, Li J, 2012. Automatic road extraction from mobile scanning data, CVRS2012, December 16-18, Xiamen, China, doi:10.1109/CVRS.2012.6421248 (IEEE: EI).
• Sun Z, Wang C, Li P, Wang H, Li J, 2012. Hyperspectral image classification with SVM-based domain adaption classifiers,CVRS2012, December 16-18, Xiamen, China, doi:10.1109/CVRS.2012.6421273 (IEEE: EI).
• Chen H, Cheng M, Li J, 2012. An iterative terrain recovery approach to automated DTM generation from airborne LiDAR point clouds,ISPRS2012 Congress,Melbourne, Australia, August 25-September 1, ISPRS Archives, 39(B4): 363-368.
• Guan H, Yu J, Li J, 2012. Random forests-based feature selection for land-use classification lidar data and orthoimagery, ISPRS2012 Congress, Melbourne, Australia, August 25-September 1, ISPRS Archives, 39(B7): 203-208.
• Yu Y, Wang C, Li J, Guan H, 2012. Terrestrial mobile laser scanning for urban infrastructure mapping: road marking extraction results,ISPRS2012 Congress, Melbourne, Australia, 25 August- 1September, Oral Presentation.
• Shu Y, Li J, Xie S, 2012. SAR image segmentation using a novel Markov random field model with label cost prior, ASPRS Annual Conference, Sacramento, CA, March 19-23.

2011

• Li J, Kuang G, He Z, 2011. Mapping water bodies from RADARSAT imagery, Proceedings of ICC2011, 3-8 July, Paris, France, A3-024: 16p.
• Su X, Li J, 2011. The key technologies on electronic navigation map delta updating, Proceedings of ICC2011, Paris, France, 3-8 July, E-CO-460, 10p.
• Guan H, Li J., Chapman, M.A., Zhong, L., and Ren, Q., 2011. Support vector machine for urban land-use classification using lidar point clouds and aerial imagery, Lidar and Radar Mapping 2011, May 26-28, Nanjing, China, 8p.

2010

• Kuang G, Li J, 2010. Mapping shorelines from RADARSAT imagery using a modified geodesic active contour model, ICA Workshop on Advances in Sensors and Algorithms for Topographic and Thematic Mapping. November 19-20, Orlando, Florida.
• Li W, Sui L, Li J, Zhu J, Li Z, and Wang M, 2010. Ground fissure mapping using 3D terrestrial laser scanning point clouds, ISPSR Workshop on Terrestrial Lidar: From Static to Mobile, October 16-18, Zhengzhou, China, 7p
• Yang B, Fang L and Li J. 2010. Detecting road markings form mobile lidar point clouds, ISPRS Workshop on Terrestrial Lidar: from Static to Mobile, Zhengzhou, China, 16-18 October, 7p.
• Chen D, Li J, He X, 2010. A stepwise approximation approach to filling holes in terrestrial mobile lidar point clouds, ISPRS Workshop on Terrestrial Lidar: From Static to Mobile, Zhengzhou, China, 16-18 October, 6p.
• Yousif H, Li J, Chapman MA, Shu YM, 2010. Accuracy enhancement of terrestrial mobile lidar data using theory of assimilation, ISPRS Archives, Newcastle upon Tyne, UK, 38(5), pp. 639-645.
• Yousif H, Li J, Chapman MA, 2010. Enhancement of positioning accuracy of terrestrial lidar mobile mapping systems, ISPRS Archives, Calgary, Alberta, Canada, June 16-18.

2009

• Li J, Yuan Y, Chapman MA, 2009. Use of LiDAR point clouds for building reconstruction based on a Gaussian Markov random field and Markov chain Monte Carlo segmentation approach, MMT 2009, Presidente Prudente, Brazil, 21-24 July, 8pp.
• Chapman MA, Muth N, Li J, 2009. Underground Utility Mapping using a Portable Sensor System, MMT 2009, Presidente Prudente, Brazil, 21-24 July, 8pp.
• Liu GX, Wu J, Li J, Chen Q, Qin J, Zhang HX, Zhang R, and Luo XJ, 2009. Mapping surface deformation related to the 2008 Wenchuan earthquake with ALOS InSAR and GPS observations, EOGC 2009, May 25-29, Chengdu, China, pp. 7471-58 (SPIE: EI)
• Zhang, XF, Sun Q, Li J, 2009. Optimal band selection for high dimensional remote sensing data using genetic algorithm, EOGC 2009, May 25-29, Chengdu, China, pp. 7471-62 (SPIE: EI)
• Sui L, Li J, Wang X, Zhao D, 2009. Monitoring landslides dynamics using multitemporal terrestrial laser scanning data, EOGC 2009, May 25-29, Chengdu, China, pp. 7471-57 (SPIE: EI).
• Zhang, XF, Li J, 2009. Introduction to Earth Observation for Global Changes, EOGC 2009, May 25-29, Chengdu, China, vol. 7471, pp. xxi-xxii (SPIE: EI)

2008

• Tan W, Li J, Li Y, 2008. Rastering LiDAR point clouds using block Kriging, XXI ISPRS Congress, July 3-11, Beijing, China, ISPRS Archives 37(B3b-2): 687-692.
• Si X, Li J, Wang Z, 2008. Knowledge-oriented sensor web for disaster management: from sensing to decision making, XXI ISPRS Congress, July 3-11, Beijing, China, ISPRS Archives, 37(B4-3): 1079-1083.
• Li Y, Li J, Tan W, 2008. Segmentation of SAR imagery based on Bayesian inference using Voronoi polygon: initial results for oil spill detection, ASPRS 2008, April 28- May 2, 2008, Portland, Oregon, 8pp.

2007

• Amirsalari F, Li J, 2007. Impact of chloride concentrations on surface water quality of urban watersheds using Landsat imagery,Environmental Informatics Archives, Bangkok, Thailand, November 21-23, 5: 576-584.
• Li J, Li Y, Chapman MA, 2007. Building edge extraction from LiDAR based on jump detection in non-parameter regression model,MMT2007, Padua, Italy, May 28-31, 6 pp.
• Khan F, Chapman MA, Li J, 2007. Camera calibration for a robust omni-directional photogrammetric system, MMT2007, May 28-31, Padua, Italy

Before 2007

• Wang R, Sohn G, Tao VC, Li J, 2006. 3D object reconstruction from non-georeferenced monocular imagery, ASPRS 2006, May 1-5, Reno, Nevada, 12p.
• Wu S, Li J, Hunag GH, 2005. GIS applications to agricultural non-point-source pollution modeling: a status review,Environmental Informatics, pp. 202-206.
• Rumman N, Lin G, Li J, 2005. Investigation of GIS-based surface hydrological modeling for identifying infiltration zones in an urban watershed, Environmental Informatics, pp. 315-322.
• Hong Z, Jiang Q, Dong H, Wang S, Li J, 2005. An improved FCM-based model for urban change detection using high-resolution remotely sensed images, Environmental Informatics, pp. 352-359.
• Zheng Y, Dong H, Jiang Q, Li J, 2005. A modified FCM-based algorithm for oil spill detection in SAR images, Environmental Informatics, pp. 346-351.
• Li J, Li Y, 2004. Multivariate mathematical morphology based on principal component analysis: initial results in building extraction, ISPRS Archives, 35 (B7): 1168-1173.
• Tulloch M, Li J, 2004. Applications of satellite remote sensing to urban air-quality monitoring: status and potential solutions to Canada, Environmental Informatics Archives, 2: 846-854.
• Li R, Li J, 2004. Satellite remote sensing technology for lake water clarity monitoring: an overview, Environmental Informatics Archives, 2: 893-901.
• Dong H, Li J, Chapman MA, 2004. A semi-automated approach to extraction of road networks from Ikonos imagery, MMT 2004, Kunming, China, March 29-31.
• Chapman MA, Hong J, Li J, 2004. Assessment of terrestrial LIDAR data for industrial metrology Applications, MMT 2004, Kunming, China, March 29-31.
• Zhong D, Li J, Qiu H, 2004. GPSTrackP: a low cost vehicle and driver management system, MMT 2004, Kunming, China, March 29-31.
• Cai W, Wang S, Jiang Q, Li J, 2004. A practical implementation of route finding, MMT 2004, Kunming, China, March 29-31.
• Luk GK, Nie J, Li J, 2003. Geovisualization of mercury contamination in Great Lakes fish, Environmental Informatics Archives, 1: 458-466.
• *Dong H, Li J, 2003. Development of a dynamic visual simulation system of surface water, ISPRS Joint Workshop on Spatial, Temporal and Multi-Dimensional Data Modeling and Analysis, October 2-3, Quebec City, Quebec.
• Wu S, Li J, Huang GH, 2002. Digital elevation models for watershed characterization in runoff modeling: quality, processing and uncertainty, Flood Defence'2002, ISBN: 1-880132-54-0, Vol. 2, pp. 1266-1274.
• Li Y, Li J, Dong HB, Abdalla M, Gao XQ, 2002. A fuzzy-based image analysis method for floodplain mapping of urban environment, Flood Defence'2002, 2: 1266-1274.
• Abdalla RM, Li J, Chen Z, El Awad YA, Maqsood I, 2002. A comparison study of change detection techniques in stream channel of the Qu'Appelle River, Southern Saskatchewan, Flood Defence'2002, 2: 1275-1280.
• Gao X, Li J, 2003. Prototyping a GIS-based spatial decision support system in a manufacturing environment, ISPRS Joint Workshop on Spatial, Temporal and Multi-Dimensional Data Modeling and Analysis, October 2-3, Quebec City, Quebec.
• Sun X, Li J, 2003. Application of GIS in advanced traffic management system, ISPRS Joint Workshop on Spatial, Temporal and Multi-Dimensional Data Modeling and Analysis, October 2-3, Quebec City, Quebec.
• Li J, Li Y, Dong H, 2002. Automated extraction of urban road networks from IKONOS imagery using a fuzzy mathematical morphology approach, ISPRS Archives, 34(2II): 259-263.
• Li Y, Li J, Dong H, Gao X, 2002. A fuzzy relation based algorithm for segmenting color aerial imagery of urban environments, ISPRS Archives, 34(2II): 271-274.
• Chen B, Huang GH, Li J, Li YR, Li YF, 2001. Integration of GIS with pesticides losses runoff model, ISPRS Archives, 34(2W2): 37-44.
• Chen S, Huang GH, Li J, 2001. A GIS-supported environmental risk assessment for petroleum waste contaminated site, ISPRS Archives, 34(2W2): 59-66.
• Liu L, Huang GH, Li J, 2001. A GIS-based environmental decision support system for the Erhai Lake watershed management, ISPRS Archives, 34(2W2):183-189.