InWaveSR: Topography-aware super-resolution network for internal solitary waves

Key Points

• The topography-aware super-resolution network significantly enhances the resolution of internal solitary wave images, leading to clearer visualization.
• Quantitative assessments show improvements exceeding 30% in image clarity compared to conventional methods within specific imaging settings.
• Analysis employs a neural network framework adept in machine learning algorithms to train and generate higher resolution imagery.
• These findings support more effective monitoring of internal solitary waves, which are crucial for understanding oceanic and atmospheric dynamics.