Hwang, S.-H.; Park, S.-K.; Park, S.-H.; Kwon, K.-W.; Im, T.-H. RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm. J. Mar. Sci. Eng.2024, 12, 53.
Hwang, S.-H.; Park, S.-K.; Park, S.-H.; Kwon, K.-W.; Im, T.-H. RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm. J. Mar. Sci. Eng. 2024, 12, 53.
Hwang, S.-H.; Park, S.-K.; Park, S.-H.; Kwon, K.-W.; Im, T.-H. RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm. J. Mar. Sci. Eng.2024, 12, 53.
Hwang, S.-H.; Park, S.-K.; Park, S.-H.; Kwon, K.-W.; Im, T.-H. RDCP: A Real Time Sea Fog Intensity and Visibility Estimation Algorithm. J. Mar. Sci. Eng. 2024, 12, 53.
Abstract
A number of accidents at sea are primarily caused by low visibility due to sea fog therefore, it is important to estimate sea fog intensity and visibility in real-time in the ocean environment. However, the existing estimation systems have significant costs so that it is not viable to install them at various locations, such as small vessels, minor ports, and a number of buoys. Therefore, this paper proposes an algorithm called RDCP (Reduced Dark Channel Prior) which provides the estimation at a low complexity and a low cost. For the estimation, the RDCP algorithm firstly acquires dark channels from an ocean image, then applies an optimized threshold value to the dark channels, and crops out the sky region in the ocean image. For the estimation performance evaluation, 320 raw images captured from cameras at four different ports in South Korea are used rather than artificially composed images. Considering facilities in oceans which are usually operated in the power limited environment, the processing time performance of PDCP are also examined. The experiments demonstrate that the RDCP algorithm provides reliable estimation performance in real-time.
Keywords
sea fog intensity estimation; visibility estimation; sea fog image processing
Subject
Environmental and Earth Sciences, Oceanography
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
