Gunho Sohn

Associate Professor of Geomatics Engineering

Petrie 149

(416)-650-8011

gsohn@yorku.ca

http://www.yorku.ca/gsohn

Research Interests

  • 3D Urban Space Modelling and Augmentation
  • Photogrammetric Computer Vision
  • Geometric Remote Sensing
  • Web and Wireless GIS
  • Building Information Modelling

Selected Publications

Ko, C., Sohn, G., Remmel, T.K. and Miller, J.R., 2014. Hybrid ensemble classification of tree genera using airborne LiDAR data, Remote Sensing. Accepted.

Zhang, J., Sohn, G. and Bredif, M., 2014. A hybrid framework for single tree detection from airborne laser scanning data: a case study in temperate mature coniferous forests in Ontario, Canad. ISPRS Journal of Photogrammetry and Remote Sensing, 98:44-57.

Guo, B., Hunag, Z., Zhang, F. and Sohn, G., 2014. Classification of airborne laser scanning data using JointBoost. ISPRS Journal of Photogrammetry and Remote Sensing, DOI: 10.1016/j.isprsjprs.2014.04.015.

Rottensteiner, F., Sohn, G., Gerke, M., Wegner, J.D., Breitkopf, U. and Jung, J., 2014. “Results of the ISPRS Benchmark on Urban Object Detection and 3D Building Reconstruction, ISPRS Journal of Photogrammetry and Remote Sensing, 93:143-144.

Ko, C., Sohn, G. and T.K., Remmel, 2013. A spatial Analysis of Geometric Features Derived from High-Density Airborne LiDAR Data for Tree Species Classification. Canadian Journal of Remote Sensing. 39(s1): S73-S85, 10.5589/m13-024.

Kim, H.B. and Sohn, G., 2013. Power-line scene classification with point-based feature from airborne LiDAR data. Photogrammetric Engineering & Remote Sensing. 79(9):821-833.

Jwa, Y. and Sohn, G., 2012. A piece-wise catenary curve model growing for 3D power line reconstruction. Photogrammetric Engineering & Remote Sensing, 78(12):1227-1240.