Automatically producing Arctic sea ice charts from Sentinel-1 synthetic aperture radar (SAR)
images is challenging for convolutional neural networks (CNNs) due to ambiguous …

Map** sea ice in the Arctic is essential for maritime navigation, and growing vessel traffic
highlights the necessity of the timeliness and accuracy of sea ice charts. In addition, with the …

We investigate how different Convolutional Neural Network (CNN) U-Net models
specialised in addressing partial labelling tasks related to map** Sea Ice Concentration …

Knowledge on changes in glacier calving front positions is important for assessing the status
of glaciers. Remote sensing imagery provides the ideal database for monitoring calving front …

To further automate the process of sea ice charting, convolutional neural networks can be
used. These networks take satellite images as input and convert them into charts showing …