Ki-Yeong Mun

Deep learning–based enhancement of feature tracking for sea ice drift estimation

This work proposes an SID estimation framework that replaces the conventional ORB with deep learning-based methods such as SuperGlue and Local Feature TRansformer (LoFTR), and demonstrates that deep learning-based methods can effectively replace the conventional ORB approach for SID estimation in the Arctic environment...