Ruisheng Wang

Dr. Ruisheng Wang, PhD, PEng (On Leave)



Schulich School of Engineering, Department of Geomatics Engineering

Contact information

Phone number

Office: +1 (403) 210-9509

For media enquiries, contact

Joe McFarland
Media Relations and Communications Specialist

Cell: +1.403.671.2710

I'm looking for...

Study participants

I always look for self-motivated students with strong mathematical and programming skills. For instruction of applying for admission, please refer to my supervisor profile.



Educational Background

PhD Electrical and Computer Engineering, McGill University,

MSc.E Geomatics Engineering, University of New Brunswick,

BEng Photogrammetry and Remote Sensing, Wuhan University,


Dr. Ruisheng Wang is a professor in the Department of Geomatics Engineering at the University of Calgary which he joined in 2012. Before that, he worked as an industrial researcher at HERE Technologies (formerly NAVTEQ) in Chicago, USA since 2008. His primary research focus there was mobile LiDAR data processing for next-generation map making and navigation. Dr. Wang holds a Ph.D. in Electrical and Computer Engineering from McGill University, an Geomatics Engineering from University of New Brunswick, and a B.Eng. in Photogrammetry and Remote Sensing from Wuhan University, respectively. 


Areas of Research

Photogrammetry, Remote Sensing, Computer Vision

In general, I am interested in GeomaticsComputer Vision and interdisciplinary topics of Geomatics Engineering and Computer Science. A particular focus of mine is combining Computer Science with Geomatics to solve problems within each field, and to promote their disciplinary convergence. My research follows the themes of photogrammetry, computer vision, and remote sensing with a focus on mapping, especially point cloud processing. 

Specifically, my research areas of focus include development of intelligent algorithms and computational tools for information extraction, 3D mapping and modeling of real world environments using data acquired from different platforms with different sensors. Examples include airborne/spaceborne imaging using active sensors (e.g. LiDAR) and/or passive sensors (e.g. panchromatic camera), ground-based or vehicle-borne based sensing techniques (e.g. hand-held shooting, mobile mapping), and mobility data (e.g. GPS traces). 

Current team:

PhD students: Akshay Bharadwaj, Perpetual Hope Akwensi, Hongxin Yang, Lihong Chang (visiting), Donglin Fan (visiting)

MSc students: Hailun Yan, Fatma Mutlu Kipirti, Shangfeng Huang

Visiting scholars: Drs. Bo Guo, Youmei Han  

Participation in university strategic initiatives


Course number Course title Semester
ENGG 407 LEC 03 03 Numerical Methods in ENGG Winter 2022
ENGO 559 LEC 01 01 Digital Imaging & Applications Winter 2022
ENGO 610 LEC 01 01 Geospatial Vision Fall 2021


  • Sameul Gamble Award, International Society for Photogrammetry and Remote Sensing (ISPRS). 2022
  • Talbert Abrams Award Second Honorable Mention, ASPRS. 2018
  • Research Excellence Award, Schulich School of Engineering. 2017
  • Outstanding Teaching Performance, Schulich School of Engineering. 2016
  • Google Research Awards, Google Inc. 2016
  • Early Research Excellence Award, Schulich School of Engineering. 2014
  • Google Research Awards, Google Inc. 2014
  • Certificate of Excellence in Reviewing, Elsevier & ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier & ISPRS. 2014
  • Eight NAVTEQ Significant Development Awards, NOKIA. 2009
  • Benedek Graduate Fellowships in Engineering, McGill University. 2008
  • Vadasz Fellowship, McGill University. 2006
  • McGill Engineering Doctoral Award (MEDA), McGill University. 2006
  • NSERC Doctoral Scholarship PGS-D, NSERC. 2006
  • GeoTango Award of Research Excellence, GEOIDE. 2005
  • Best Poster Award, XXth ISPRS Congress, Istanbul, Turkey. 2004


In the News

  • Peer-reviewed Journal Papers  (my student, postdoc, and visiting student/scholar's names in bold)
  1. Yang ZhengHao Deng, Jingjie Wu, Ruisheng Wang, Zhankun Liu, Lixin Wu, 2023. Space-associated domain adaptation for three-dimensional mineral prospectivity modeling. International Journal of Digital Earth, Pages 2885-2911, Volume 16, 2023 - Issue 1.
  2. Changwei Wang, Rongtao Xu, Shibiao Xu,Weiliang Meng, Ruisheng Wang, Jiguang Zhang, Xiaopeng Zhang, 2023. Towards accurate and efficient road extraction by leveraging the characteristics of road shapes. IEEE Transactions on Geoscience and Remote Sensing, June 2023.
  3. Perpetual Hope Akwensi, Zhizhong Kang, Ruisheng Wang, 2023. Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning, International Journal of Applied Earth Observation and Geoinformation.
  4. Changwei Wang, Lele Xu, Rongtao Xu, Shibiao Xu, Weiliang Meng, Ruisheng Wang, Xiaopeng Zhang 2023. Triple Robustness Augmentation Local Features for multi-source image registration, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 199, 2023, Pages 1-14.
  5. Jian Gao, Houjun Jiang *, Zhongchang Sun, Ruisheng Wang, Youmei Han 2023. A Parallel InSAR Phase Unwrapping Method Based on Separated Reliability Regions. Remote Sensing. 
  6. Zhenyu Zhang, Jian Wang *, Zhiyuan Li, Youlong Zhao, Ruisheng Wang 2022. Optimization Method of Airborne LiDAR Individual Tree Segmentation Based on Gaussian Mixture Model. Remote Sensing.
  7. Jing Li, Chenhui Shi, Jun Chen, Ruisheng Wang, Zhiyuan Yang, Fan Zhang & Jianhua Gong, 2022. A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device, International Journal of Digital Earth, 15:1, 1929-1946, DOI: 10.1080/17538947.2022.2138591
  8. Ma, Xinjiang; Yue, Dongjie; Liu, Rufei; Wang, Ruisheng; Zhu, Shaolin; Wang, Minye; Yu, Jiayong, 2022. Road curbs extraction from MLS point clouds with multi-dimensional LBPROT features. The Photogrammetric Record. 
  9. Li Li, Nan Song, Fei Suna, Xinyi Liu, Ruisheng Wang, Jian Yao, Shaosheng Cao, 2022. Point2Roof: End-to-End 3D Building Roof Modeling from Airborne LiDAR Point Clouds. ISPRS Journal of Photogrammetry and Remote Sensing.
  10. Donglin Fan, Hongchang He, Ruisheng Wang, You Zeng, Bolin Fu, Yuankang Xiong, Lilong Liu, Yong Xu, Ertao Gao, 2022. CHLNET: A Novel Hybrid 1D CNN-SVR Algorithm for Estimating Ocean Surface Chlorophyll-a. Frontiers in Marine Science, section Marine Conservation and Sustainability   
  11. Shangfeng Huang, Guorong Cai; Zongyue Wang, Qiming Xia, Ruisheng Wang, 2021. SSA3D: Semantic Segmentation Assisted One-Stage Three-Dimensional Vehicle Object Detection. IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2021.3133476.
  12. Huaigang Huang, Yiping Chen, Ruisheng Wang, 2021. A Lightweight Network for Building Extraction from Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2021.3131331.
  13. Shaobo Xia, Sheng Xu, Ruisheng Wang, Jonathan Li, Guanghui Wang, 2021. Building Instance Mapping from ALS Point Clouds Aided by Polygonal Maps. IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2021.3087159.
  14. Sheng Xu, Ruisheng Wang, Hao Wang and Ruigang Yang, 2021. Plane Segmentation Based on the Optimal-vector-field in LiDAR Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 43, Issue 11, Page(s): 3991-4009, December 2021.  
  15. Ye C, Zhao H, Ma L, Jiang H, Li H, Wang R, Chapman M, Marcato Jr J, Li J, 2020. 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.
  16. Xu ShengWang RuishengWang HaoZheng Han, 2020. An optimal hierarchical clustering approach to mobile LiDAR point clouds, IEEE Transactions on Intelligent Transportation Systems, Volume: 21, Issue: 7, Page(s): 2765-2776.
  17. Wuyong Tao, Xianghong Hua, Kegen Yu, Ruisheng Wang, Xiaoxing He, 2020. A Comparative Study of Weighting Methods for Local Reference Frame. Appl. Sci. 2020, 10(9), 3223; 
  18. Peng Li, Ruisheng Wang, Yanxia Wang, Wuyong Tao, 2020. Evaluation of the ICP algorithm in 3D point cloud registration, IEEE Access, Volume: 8, Issue:1, pp: 68030-68048.
  19. Wei Han, Ruisheng Wang, Daqing Huang, Cheng Xu2020. Large-scale ALS Data Semantic Classification Integrating Location-Context-Semantics Cues by Higher-Order CRF, Sensors 2020, 20(6), 1700. 
  20. Shaobo Xia, Dong Chen, Ruisheng Wang, Jonathan Li, Xinchang Zhang, 2020. Geometric Primitives in LiDAR Point Clouds: A Review.  IEEE Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 13, Issue:1, pages:685-707.
  21. Wuyong Tao, Xianghong Hua, Ruisheng Wang, Dong Xu, 2020. Quintuple Local Coordinate Images for Local Shape Description. Photogrammetric Engineering & Remote Sensing, Volume 86, Number 2, February 2020, pp. 121-132(12).
  22. Peng Li, Ruisheng Wang, Yanxia Wang, Ge Gao, 2020. Fast Method of Registration for 3D RGB Point Cloud with Improved Four Initial Point Pairs Algorithm. Sensors 2020, 20(1), 138.
  23. Peng Li, Ruisheng Wang, Yanxia Wang, Ge Gao, 2019. Automated Method of Extracting Urban Road Based on Region Growing from Mobile Laser Scanning Data. Sensors, 19(23), 5262.   
  24. Shaobo Xia, Dong Chen and Ruisheng Wang, 2019. A Breakline-preserving Ground Interpolation Method for MLS Data. Remote Sensing Letters, Volume 10 Issue 12, Pages 1201-1210.
  25. Jiju Peethambaran, Amal Dev Parakkat, Andrea Tagliasacchi, Ruisheng Wang, and Ramanathan Muthuganapathy, 2019. ”Incremental Labeling of Voronoi Vertices for Shape Reconstruction“, Computer Graphics Forum, The Eurographics Association, and John Wiley & Sons Ltd., Volume 38, Number 1, pp. 521-536.
  26. Lei Xie, Ruisheng Wang, Zutao Ming  and Dong Chen, 2019. A Layer-Wise Strategy for Indoor As-Built Modeling Using Point Clouds. Applied Sciences (2076-3417). 7/15/2019, Vol. 9 Issue 14, p2904-2904. 1p. 
  27. Yang Liu, Ruisheng Wang, Xiaofei Ji, Yangyang Wang, 2019. Collaborative Sparse Coding with Smoothness Regularization for Hyperspectral Image Classification. Photogrammetric Engineering & Remote Sensing 85 (9), 659-672.
  28. Jianli Du, Dong Chen, Ruisheng Wang, Jiju Peethambaran, P. Takis Mathiopoulos, Lei Xie, and Ting Yun, 2019. A Novel Framework for 2.5D Building Contouring from Large-Scale Residential Scenes. IEEE Transactions on Geoscience and Remote Sensing, Volume: 57, Issue 6, Page(s): 4121 - 4145.
  29. S. Xia and R. Wang 2019. Facade Separation in Ground-based LiDAR Point clouds based on Edges and Windows. IEEE Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 12, Issue:3, March 2019, pp.1041-1052, DOI: 10.1109/JSTARS.2019.2897987.  
  30. S. Xu and R. Wang, 2019. Power Line Extraction from Mobile LiDAR Point Clouds, IEEE Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 12, Issue:2, pp. 734-743, DOI: 10.1109/JSTARS.2019.2893967.
  31. S. Xia and R. Wang, 2019. Semi-automatic Construction of 2D Façade Footprints from Mobile LiDAR Data, IEEE Transactions on Geoscience and Remote Sensing, Volume: 57, Issue: 6, pp.1 - 16. 
  32. S. Xia and R. Wang, 2018. Extraction of Residential Building Instances in Suburban Areas from Mobile LiDAR Data, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 144, October 2018, Pages 453-468.
  33. Lingfei Ma, Ying Li, Jonathan Li, Cheng Wang, Ruisheng Wang, Michael A. Chapman, 2018. Mobile Laser Scanned Point-clouds for Road Object Detection and Extraction: A Review. Remote Sens. 2018, 10(10), 1531; doi:10.3390/rs10101531.
  34. W. Sun and R. Wang, 2018. Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined with DSM, IEEE Geoscience and Remote Sensing Letters, Volume: 15, Issue: 3, pp 474-478 (9th most cited paper in IEEE Geoscience and Remote Sensing Letters 2018). 
  35. R. Wang, J. Peethambaran, D. Chen, 2018. LiDAR Point Clouds to 3D Urban Models: A Review, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, Issue 2, pp 606-627 (Listed as one of the "Popular Articles" on J-STARS website on April 2018). 
  36. R. Wang, L. Xie, D. Chen, 2017. Modeling Indoor Spaces via Decomposition and Reconstruction of Structural Elements, Photogrammetric Engineering and Remote Sensing, Vol. 83, No. 12, pp 23-37 (Talbert Abrams Award Second Honorable Mention, 2018).  
  37. D. Chen, R. Wang, J. Peethambaran, 2017. Topologically-aware Building Rooftop Reconstruction from Airborne Laser Scanning Point Clouds, IEEE Transactions on Geoscience and Remote Sensing, Volume: 55, Issue:12, Page(s): 7032-7052. 
  38. S. Xia and R. Wang, 2017. A Fast Edge Extraction Method for Mobile LiDAR Point Clouds, IEEE Geoscience and Remote Sensing Letters, Volume: 14, Issue: 8, pp 1288-1292.
  39. J. Peethambaran and R. Wang, 2017. Enhancing Urban Façades via LiDAR-based Sculpting, Computer Graphics Forum, DOI:10.1111/cgf.13097.
  40. S. Xu, R. Wang, H. Zheng, 2017. Road Curb Extraction from Mobile LiDAR Point Clouds, IEEE Transaction on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2016.2617819.  
  41. H. Zheng, R. Wang, S. Xu, 2017. Recognizing Street Lighting Poles from Mobile LiDAR Data, IEEE Transaction on Geoscience and Remote Sensing, VOL. 55, NO. 1, January 2017.
  42. T. Yu and R. Wang, 2016. Scene Parsing using Graph Matching on Street-view Data, Computer Vision and Image Understanding, Volume 145, pages 70-80, DOI: 10.1016/j.cviu.2016.01.004.
  43. R. Wang, Y. Hu, H. Wu, J. Wang, 2016. Automatic extraction of building boundaries using aerial LiDAR dataJournal of Applied Remote Sensing 10(1), 016022. DOI: 10.1117/1.JRS.10.016022.
  44. J. Qiu and R. Wang, 2016. Automatic Extraction of Road Networks from GPS Traces, Photogrammetric Engineering & Remote Sensing, Vol.82, No.8, pp.593-604.
  45. J. Qiu and R. Wang, 2016. Road Map Inference: A Segmentation and Grouping FrameworkISPRS International Journal of Geo-Information, 5(8), 130; DOI: 10.3390/ijgi5080130.
  46. J. Qiu and R. Wang, 2016. Inferring Road Maps from Sparsely-Sampled GPS Traces, Journal of Location Based Services, DOI:10.1080/17489725.2016.1183053.
  47. R. Wang and FP Ferrie, 2015. Upsampling Method for Sparse Light Detection and Ranging Using Coregistered Panoramic Images, Journal of Applied Remote Sensing, 9(1), 095075 (2015). doi:10.1117/1.JRS.9.095075.
  48. R. Wang and F. Ferrie, 2015. Automatic Registration Method for Mobile LiDAR Data, Optical Engineering, 54(1), 013108 (Jan 27, 2015). doi:10.1117/1.OE.54.1.013108.
  49. J. Xu, R. Wang, S. Yue, 2014. A Bio-inspired Classifier for Road Extraction from Remote Sensing Imagery, Journal of Applied Remote Sensing 8(1), 083577. doi:10.1117/1.JRS.8.083577.
  50. J. Qiu, R. Wang, W. Li, 2014. Use of Rough Sets Theory in Point Cluster and River Network Selection. Journal of Geographic Information System 6 (03), 209-219.
  51. Wang, R., 2013.  3D Building Modeling Using Images and LiDAR: A Review. International Journal of Image and Data Fusion, Vol. 4, No. 4, pp. 273-292 (Invited Paper).
  52. Wang, R., F. Ferrie, and J. Macfarlane, 2012. A Method for Detecting Windows from Mobile LiDAR Data. Photogrammetric Engineering and Remote Sensing, Vol. 78, No. 11, pp.1129-1140.
  53. Wang, R., Y. Hu, and X. Zhang, 2005. Extraction of Urban Road Network Using QuickBird Pan-Sharpened Multispectral and Panchromatic Imagery. Geomatica, Vol. 59, No.3, pp.263-273.
  • Peer-reviewed Full Conference Papers
  1. Ruisheng Wang, Shangfeng Huang, Hongxin Yang, 2023. Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds. International Conference on Computer Vision (ICCV 2023). 
  2. Perpertual Hope Akwensi, Ruisheng Wang, 2023. A reversible transformer for LiDAR point cloud semantic segmentation. The 20th Conference on Robots and Vision, Montreal, Quebec, June 6 - June 8, 2023.
  3. Perpetual Hope Akwensi, Ruisheng Wang, 2022. Attention-based Multi-scale Graph Convolution for Point Cloud Semantic Segmentation. IEEE IGARSS 2022, Kuala Lumpur, Malaysia, 17 - 22 July.
  4. Hongxin Yang, Hailun Yan, Ruisehng Wang, 2022. Bert-enhanced with Context-aware Embedding for Instance Segmentation in 3D Point Clouds. IEEE IGARSS 2022, Kuala Lumpur, Malaysia, 17 - 22 July.
  5. Xu, W., Long, C., Wang, R., & Wang, G. (2021). DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style TransferIEEE/CVF International Conference on Computer Vision (ICCV), oral (acceptance rate: 3%). 
  6. T. Yu and R. Wang, 2016. "Enhancing Scene Parsing by Transferring Structures via Efficient Low-rank Graph Matching", The 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Oct 31 - Nov 3, San Francisco Bay Area, California, USA (full paper acceptance rate 18%, 40 out of 217).
  7. Peethambaran, Jiju; Parakkat, Amal Dev; Muthuganapathy, Ramanathan; Tagliasacchi, Andrea; Wang, Ruisheng, 2018. Incremental Labeling of Voronoi Vertices for Shape Reconstruction, Computer Graphics Forum.
  8. T. Yu and R. Wang, 2016. "Graph Matching with Low-rank Regularization", WACV 2016: IEEE Winter Conference on Applications of Computer Vision, March 7-9, Lake Placid, NY, USA (acceptance rate 42.3%).
  9. J. Qiu, R. Wang, and X. Wang 2014. Inferring Road Maps from Sparsely-Sampled GPS Traces, Proceedings of the 27th Canadian Conference on Artificial Intelligence, May 6-9, Montréal, Québec, Canada, pp. 339-344.
  10. R. Wang, F. Ferrieand J. Macfarlane 2012. Automatic Registration of Mobile LiDAR and Spherical Panoramas, The IEEE Computer Vision and Pattern Recognition (CVPR) Workshop on Point Cloud Processing in Computer Vision, 16 June, Providence, Rhode Island (oral).
  11. R. Wang, J. Bach, J. Macfarlane, and F. Ferrie, 2012. A New Upsampling Method for Mobile LiDAR Data, IEEE Workshop on Applications of Computer Vision (WACV), Breckenridge, Colorado, Jan 9-11. (Accepted as complete oral, acceptance rate 8.5%, 12 out of 142 submissions).
  12. R. Wang, J. Bach, and F. Ferrie, 2011. Window Detection from Mobile LiDAR Data, IEEE Workshop on Applications of Computer Vision (WACV), Kona, Hawaii, Jan 5-7 (acceptance rate 46%).
  13. T. Pylvanainen, K. Roimela, R. Vedantham, J. Itaranta, R. Wang, R. Grzeszczuk, 2010. Automatic Alignment and Multi-View Segmentation of Street View Data using 3D Shape Priors, Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), Paris, France, May (Oral).
  14. X. Chen, M. Stroila, R. Wang, B. Kohlmeyer, N. Alwar, J. Bach, 2009. Next Generation Map Making: Geo-Referenced Ground-Level LIDAR Point Clouds for Automatic Retro-Reflective Road Feature Extraction. The 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, Seattle, USA, Nov. (acceptance rate 22%).
  15. Wang, R. and Ferrie, F.P., 2008. Camera Localization and Building Reconstruction from Single Monocular Images. The IEEE Computer Vision and Pattern Recognition (CVPR) Workshop on Visual Localization for Mobile Platforms, 28 June, Anchorage, Alaska (Oral).
  • Other Peer-reviewed Full Conference Papers (e.g., reviewed abstracts)
  1. Haowen Yan, Xiaomin Lu, Ruisheng Wang, Hailun Yan, 2022, Similarity-based principles in map generalization, in the Proceedings of FIG Congress 2022, September 11-15, 2022, Warsaw, Poland. 
  2. Hailun Yan and Ruisheng Wang, 2022. Automated Building Extraction from Aerial Images with An Improved End-To-End Deep-Learning-Based Approach. The FIG Congress 2022, 11-15 September, Warsaw, Poland.
  3. L. Xie, and R. Wang, 2017. "Automatic indoor building reconstruction from mobile laser scanning data", Indoor3D 2017, Sept 19-20, 2017, East Lake International Conference Center, Wuhan, Hubei, China (ZHIZHOU Best Poster Paper Award).
  4. S. Xia and R. Wang, 2017. “A Ground Removal Method for Mobile LiDAR Data”. The 25th International Conference on Geoinformatics, Aug 2-4, Buffalo, NY (extended abstract).
  5. S. Xu and R. Wang, 2016. "Boundary Depth Information Using Hopfield Neural Network", Proceedings of XXIII ISPRS Congress, Prague, 12th July - 19th July.
  6. H. Zheng, R. Wang, F. Tan, 2016 "Pole-like Object Extraction from Mobile LiDAR Data", Proceedings of XXIII ISPRS Congress, Prague, 12th July - 19th July.
  7. R. Wang, 2016. "Road Infrastructure Mapping from Mobile LiDAR Data", International LiDAR Mapping Forum, FEBRUARY 22-24, Denver, Colorado, USA (Oral presentation with abstract).
  8. C. Hu, W. Wei, S. Qin, X. Wang, A. Habib, R. Wang, 2015. "Indoor Integrated Navigation and Synchronous Data Acquisition Method for Android Smartphone", The International Conference on Optical Instruments and Technology (OIT'2015), 17-19 May, Beijing, China. 
  9. Wang, R., and Ferrie, F.P., 2008. Self-Calibration and Metric Reconstruction from Single Images. The Proceedings of XXIth ISPRS Congress, 3-11 July, Beijing, China (Oral).
  10. Wang, R., Tao, V., and Ferrie, F.P., 2007. Non-rigid Space Resection by Parameterized Models, the 7th International Workshop of Geographical Information System (IWGIS'07), September 14-15, Beijing, China (Oral).
  11. Wang, R., G. Sohn, Tao, V., and Li, J. 2006. 3D Object Reconstruction from Non- georeferenced Monocular Imagery, ASPRS Annual Conference, May 1-5, Reno, Nevada, 12p. (Oral).
  12. Hu, Y., Wu, H., Wang, R., St-Onge, B., 2006. Locating targets under perspective projection with genetic algorithms and tabu search, ASPRS Annual Conference, 1-5 May, Reno, 12 p.
  13. Hu, Y., Gao, Y., St-Onge, B., Wang, R., 2006. Detection of multiple outliers by random robust testing, ASPRS Annual Conference, 1-5 May, Reno, 12 p.
  14. Wang, R., Hu, Y., and Tao, V., 2005. Comparison of Rational Function Model-Based 3D Reconstruction Algorithms, 13th International Conference on Geoinformatics, 17- 19 August, Toronto, Canada (Oral).
  15. Hu, Y., Xia, W., Hu, X., and Wang, R., 2005. Object Recognition Through Template Matching Using an Adaptive and Robust Hausdorff Distance. ASPRS Annual Conference, 7-11 March 2005, Baltimore, 12 p.
  16. Zhang, Y. and Wang, R., 2004. Multi-Resolution and Multi-Spectral Image Fusion for Urban Object Extraction. Proceedings of XXth ISPRS Congress, Commission III, 12- 24 July 2004, Istanbul, Turkey, pp. 960-966. (Best Poster Award)
  17. Wang, R. and Y. Zhang, 2003. Semi-Automated Road Extraction from QuickBird Imagery. ISPRS Joint Workshop on Spatial-Temporal and Multi-Dimensional Data Modeling and Analysis, October, 2-3, 2003, Quebec, Canada (Oral).
  18. Wang, R. and Y. Zhang, 2003. Extraction of Urban Road Network Using QuickBird Pan-Sharpened Multispectral and Panchromatic Imagery by Performing Edge-aided Post-Classification. ISPRS Joint Workshop on Spatial-Temporal and Multi-Dimensional Data Modeling and Analysis, October, 2-3, 2003, Quebec, Canada (Oral).
  • Peer-reviewed Book Chapter/Entry
  1. Wang, R. 2016. Ground Based LiDAR. In The International Encyclopedia of Geography, edited by Douglas Richardson. Malden, Oxford: John Wiley and Sons, Ltd.