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• Lidar data processing • Feature extraction • Spatial Statistics My research domain concentrates on applying Gaussian Markov Random field (GRMF) theory to develop effective algorithm to segment airborne lidar points cloud, and reconstructing three dimensional urban models based on the outcome of segmentation and other software packages. • 2006 - present: MASc candidate in Geomatics Engineering, Department of Civil Engineering, Ryerson University, Toronto, Canada • 2004, BSc in Computer Science, York University, Toronto, Ontario • May 2007 - present: Research Assistant at the RSGTech Lab, University of Waterloo, Waterloo, Ontario • Yuan Y., J. Li., and Y. Li, (2008). LIDAR Segmentation Using Gaussian Markov Random Field (GMRF) and Markov Chain Monte Carlo (MCMC),submitted to XXI ISPRS Congress, Beijing, China, 3-11 July 2008. 8pp. • 2007 Research scholarship at Ryerson University • 2002 Execllence study scholarship at York University |
| Copyright © 2007-2011 RSGTech Lab at the University of Waterloo, Waterloo, Ontario N2L 3G1, Canada Administered by Si(Scott) Xie. All right reserved. Last updated: January 18th, 2011 For inquires and comments please contact: s8xie@uwaterloo.ca |