Sohn, Gunho
Associate Professor, LEL
PhD (University College London)
Department:
- Earth & Space Science & Engineering
Main Office:
Petrie 149
Phone Number:
(416) 650-8011
Email Address:
gsohn@yorku.caWebsite:
Research Interests
- 3D Urban Space Modeling and Augmentation
- Photogrammetric Computer Visoin
- Geometric Remote Sensing
- Web and Wireless GIS
- Building Information Modeling
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.
Recent Presentations
- Luo, C. and Sohn, G., 2014. Scene-layout compatibile conditional random filed for classifying terrestrial point clouds. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II(3):79-86. DOI:10.5194/isprsannals-II-3-79-2014.
