Detecting Ship Wake from Complex Backgrounds in Synthetic Aperture Radar (SAR) Imagery

Ship wake identification is crucial for analyzing ocean surface synthetic aperture radar (SAR) pictures because ship wakes typically include important vessel information. A significant proportion of detection algorithms make use of the linear traits of ship wakes by converting the lines in the spatial domain into either dark or light points in a transform domain, using techniques like the Hough or Radon transforms. This study presents a novel approach for detecting ship wakes using a Gaussian Mixture Model (GMM). The method involves obtaining the Radon transform of the SAR image, which enhances the visibility of linear features. In comparison to the state of art methodologies, the findings show that the method is successful in achieving greater wake detection accuracies.