Enhancing marine magnetic anomaly interpretation with anisotropic diffusion and deep transfer learning.

ABSTRACT: Linear magnetic anomalies (LMAs) in marine settings provide important clues about formation and evolution of the oceanic crust. LMA interpretation can be challenging as it relies on visual inspection of spatial patterns of magnetic anomalies, which may not be well defined due to sparse and irregular ship tracks. Interpreting such magnetic anomalies based on human perception is inherently subjective as well as time-consuming. We aim to minimize subjectivity and speed up the interpretation by using deep learning (DL). Two significant challenges arise when applying DL to marine magnetic anomalies. First, the anomalies may exhibit discontinuities due to sparse and highly irregular tracklines. Second, the quantity of labeled marine magnetic data maps is very limited. For the first challenge, we

SUBMITTER: Ghosh J 

PROVIDER: S-EPMC12789140 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature