Development and Analysis of Computer Vision Based SSL Detection Technology for Marine Environment

Computer vision has been widely used in the field of navigation safety, including ship identification, course prediction, and other applications, as a result of the fast development of pattern recognition and intelligent information processing technology. This has been made possible by the widespread adoption of computer vision technology. The sea sky line (SSL) is a linear interval that differentiates the area of the sky from the surface of the water. It is also an important reference in the perception of the marine environment, which enables vessels that are equipped with visual perception equipment to use visual technology perception equipment to obtain information about the environment around them. When contrasted with the environment of land, the environment of the sea surface is characterized by sudden shifts in the weather and the presence of noticeable waves. Consequently, there are still certain challenges involved in the process of detecting the SSL using computer vision technology. In this study, a comprehensive analysis and summary of the sea-sky line detection algorithms used by several modal cameras is presented.