Accuracy, Efficiency, and Transferability of a Deep Learning Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic
Deep learning has been used for mapping retrogressive thaw slumps and other periglacial landforms but its application is still limited to local study areas. To understand the accuracy, efficiency, and transferability of a deep learning model (i.e., DeepLabv3+) when applied to large areas or multiple...
Main Authors: | Lingcao Huang, Trevor C. Lantz, Robert H. Fraser, Kristy F. Tiampo, Michael J. Willis, Kevin Schaefer |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/12/2747 |
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