A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data

• Published in: IEEE Transactions on Geoscience and Remote Sensing
• Main Authors: Donini, Elena, Bovolo, Francesca, Bruzzone, Lorenzo
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2022
• Subjects: Basal boundary conditions; basal units; convolutional neural network; cryosphere; deep learning; radar sounder (RS); remote sensing; Greenland; Pyramid; West Antarctica; Antarc*; Antarctica; Ice Sheet; North Greenland
• Online Access: http://hdl.handle.net/11572/331172; https://doi.org/10.1109/TGRS.2021.3125773; https://ieeexplore.ieee.org/document/9605569

During the last decades, radar sounders provided direct measurements (radargrams) of the Earth’s polar caps’ subsurface. Radargrams are of critical importance for a better understanding of glaciologic structures and processes of the ice sheet in the framework of climate change. This article aims to...