Classification of tree genera with deep Multi-task learning network
Connie Ko
York University
Connie received her Ph.D. in Department of Earth and Space and Engineering from York University in 2014 and during her doctoral research programme, she developed an interdisciplinary research project that incorporates geo-informatics, remote sensing, machine learning and spatial analysis as the key aspect of geographical work. Her research involves the development of 3D geometric attributes derived from LiDAR (Light Detection and Ranging) point clouds for the classification of tree genera.
Authors
- Connie Ko (York University)
- Jungwon Kang (York University)
- Gunho Sohn (York University)
Topic Area
Special Sessions: Machine Learning in Remote Sensing Image Classification
Session
OS-6B » Machine Learning in Remote Sensing Image Classification_2 (15:20 - Wednesday, 20th June, Selkirk-Marquis)