Horizon Line Detection Algorithm Based on Interference-Aware Scene Perception

In recent years, with the increasing tensions in international affairs and the intensification of territorial disputes, the development and protection of marine resources in the South China Sea and the East China Sea have faced significant challenges. The increasingly frequent military activities of neighboring countries have further complicated the maritime security situation. Horizon line detection plays a crucial role in marine engineering and security defense. However, in real-world maritime environments, horizon detection is often hindered by factors such as clouds, waves, fog, islands, and coastlines.To accurately detect the horizon in actual marine conditions, using long-wave infrared images collected from both simulations and real-world environments, this paper proposes a scene-adaptive multi-feature and multi-classification scene classification method for sensing sea-surface interference types. By categorizing the interference types based on how various factors in different scenes affect horizon detection, and by designing corresponding improvements to horizon detection methods based on spectral characteristics, the proposed approach effectively filters out noise and disturbances, precisely distinguishing the horizon. This enhances the accuracy and reliability of sea-surface scene perception and analysis.