Session: OS-6B
Machine Learning in Remote Sensing Image Classification_2

Chair

Koreen Millard

Time

15:20 - 17:00 on Wednesday, 20th of June 2018

Venue

Selkirk-Marquis

15:20

Canada's Big Data Potential: Developing an adaptive model to map surface water extent using Radarsat Constellation Mission

Doug Stiff (Environment and Climate Change Canada), Jean-Michel Fiset (Environment and Climate Change Canada), Koreen Millard (Defence R&D Canada), Al Pietroniro (Environment and Climate Change Canada)
15:40

Classification of tree genera with deep Multi-task learning network

Connie Ko (York University), Jungwon Kang (York University), Gunho Sohn (York University)
16:00

Deep learning super-resolution enhancement of Landsat time series

Darren Pouliot (ECCC, Landscape Science and Technology), Rasim Latifovic (NRCan, Canada Centre for Remote Sensing), Jon Pasher (ECCC, Landscape Science and Technology), Jason Duffe (ECCC, Landscape Science and Technology)
16:20

Using LiDAR canopy height modelling and supervised classification spectral analysis to identify tree stand types based on genera conifer or deciduous at a high resource planning level

Muditha Heenkenda (Selkirk College), Lorraine Brown (Selkirk College)
16:40

Machine Learning and Automation of Processing SAR Imagery for Wildfire Detection and Monitoring

Gabriel Gosselin (PCI Geomatics), Gordon Deng (PCI Geomatics)