A Ship Detection Model in Optical Satellite Image

Abstract

In this paper, we propose a novel ship detection model based on multi-cue visual attention mechanism, which include two steps. Firstly, the model acquires salient candidate regions across entire scene by using a bottom-up visual attention cue. The cue is saliency analysis method based on visual contrast. Then, a analysis method based on the environment around the ship is used to distinguish between ship and harbor.The method dont use the shape, edge or other forms of features of the ship objects. The ship detection results prove our method can effectively concentrate on the objects with greater contrast and distinguish between ship and harbor.