A Ship Detection Scheme for SAR Images Based on the Human Visual Attention System

in this paper a new algorithm for ship detection in SAR images based on the human visual attention system has proposed. Human visual attention system identifies theprominent objects in images or scenes so that these objects can be more noticeable. Since the ships in a SAR image of theocean are prominent objects, they can easily be identified through the human visual attention system. Thus, for the detection of the ships in the SAR images, the present study(through its application) has modelled the human visual attention system in the detection stage. In this way, not only canthe targets be precisely detected, but also the falsely detected pixels are significantly reduced. Compared to most existing algorithms in the literature, ourproposed algorithm can be used for both homogeneous andnon-homogeneous images and the computation timesignificantly decreases. Experimental results have shown the efficiency of the proposed algorithm for various SAR images.

کلیدواژه ها:

Ship detection ، Visual attention system ، SAR images ، Relief map