Session: OS-1D
Machine learning in remote sensing image classification_1

Chair

Koreen Millard

Time

10:20 - 12:00 on Tuesday, 19th of June 2018

Venue

BIOL 124

10:20

Effects of Stratum Size on Land-cover Classification Accuracy and Area Bias

Peter Kennedy (University of Lethbridge), Craig Coburn (University of Lethbridge)
10:40

Assessment of Convolution Neural Networks for Wetland Mapping in the Central Canadian Boreal Forest Region

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)
11:00

A Prediction Smooth Method for Blending Landsat and MODIS Images

Detang Zhong (Canada Center for Remote Sensing), Fuqun Zhou (Canada Center for Remote Sensing)
11:20

Using Remote Sensing to Map Soil Workability in An Agricultural Landscape for Climate Change Adaptation in Delta, British Columbia

Siddhartho Paul (University of British Columbia), Nicholas Coops (University of British Columbia), Sean Smukler (University of British Columbia)
11:40

Toward the Use of Deep Learning for Topographic Feature Extraction from High Resolution Optical Satellite Imagery

Mathieu Turgeon-Pelchat (Canada Centre for Mapping and Earth Observation, Natural Resources Canada), Jean-samuel Proulx-bourque (Canada Centre for Mapping and Earth Observation, Natural Resources Canada)