Creating a semantic segmentationmachine learning model for sea icedetection on radar images to study theThwaites region

• Main Author: Fuentes Soria, Carmen
• Format: Bachelor Thesis
• Language: English
• Published: Luleå tekniska universitet, Rymdteknik 2022
• Subjects: Synthetic Aperture Radar (SAR); Machine Learning (ML); Semantic segmentation; Convolutional Neural Networks (CNN); Thwaites Glacier; Aerospace Engineering; Rymd- och flygteknik; Antarc*; Antarctica; Sea ice
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-95352

This thesis presents a deep learning tool able to identify ice in radar images fromthe sea-ice environment of the Twhaites glacier outlet. The project is motivatedby the threatening situation of the Thwaites glacier that has been increasingits mass loss rate during the last decade. This is of concer...