Now showing items 1-2 of 2
Improving LULC Map Production via Semantic Segmentation and Unsupervised Domain Adaptation
(University of Winnipeg, 2021-04-13)
In recent years, a lot of remote sensing problems benefited from the improvements made in deep learning. In particular, deep learning semantic segmentation algorithms have provided improved frameworks for the automated ...
Unsupervised Domain Adaptation using Satellite Images for Significantly Different Infrastructure Objects
(University of Winnipeg, 2022-03-28)
Deep learning has become one of the most efficient computer vision tools in recent years. The success and variety of deep learning semantic segmentation models inspired scientists in the remote sensing domain to apply them ...