Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images

State-of-the-art deep learning technology has been successfully applied to relatively small selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery acquired by a fixed-wing aircraft to automatically characterize ice-wedge polygons (IWPs) in the Arctic tundra. However,...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Weixing Zhang, Anna K. Liljedahl, Mikhail Kanevskiy, Howard E. Epstein, Benjamin M. Jones, M. Torre Jorgenson, Kelcy Kent
Format:	Article
Language:	English
Published:	MDPI AG 2020-03-01
Subjects:	ice-wedge polygons Arctic deep learning Mask R-CNN WorldView-2 UAV
Online Access:	https://www.mdpi.com/2072-4292/12/7/1085