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...

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Główni autorzy:	Lingcao Huang, Trevor C. Lantz, Robert H. Fraser, Kristy F. Tiampo, Michael J. Willis, Kevin Schaefer
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2022-06-01
Seria:	Remote Sensing
Hasła przedmiotowe:	DeepLab domain adaptation generative adversarial network permafrost thermokarst
Dostęp online:	https://www.mdpi.com/2072-4292/14/12/2747
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