40 citations · 57 across the 10 of their papers we have counts for
5 papers · 1 filter
Semantically-consistent Landsat 8 image to Sentinel-2 image translation for alpine areas
M. Sokolov, J. L. Storie, C. J. Henry +5
The availability of frequent and cost-free satellite images is in growing demand in the research world. Such satellite constellations as Landsat 8 and Sentinel-2 provide a massive…
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation
R. M. Tsenov, C. J. Henry, J. L. Storie +3
Deep learning semantic segmentation algorithms have provided improved frameworks for the automated production of Land-Use and Land-Cover (LULC) maps, which significantly increases…
Inside Out: Transforming Images of Lab-Grown Plants for Machine Learning Applications in Agriculture
A. E. Krosney, P. Sotoodeh, C. J. Henry +2
Machine learning tasks often require a significant amount of training data for the resultant network to perform suitably for a given problem in any domain. In agriculture, dataset…
Investigating classification learning curves for automatically generated and labelled plant images
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
In the context of supervised machine learning a learning curve describes how a model's performance on unseen data relates to the amount of samples used to train the model. In this…
The TerraByte Client: providing access to terabytes of plant data
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
In this paper we demonstrate the TerraByte Client, a software to download user-defined plant datasets from a data portal hosted at Compute Canada. To that end the client offers two…