A Novel Imaging Strategy of SAR for Ship Detection

Abstract

In this paper, we present a novel imaging strategy of SAR for ship detection. We firstly divide surveillance area into many adjacent cells. By introducing Bayesian approach, the target occurrence probability of each cell is obtained. Based on the probability, a target-searching strategy is proposed and interest cells are determined for SAR imaging. This imaging strategy only images regions where target-presence probability is high. Reduction of imaging in no-target areas promises this novel imaging strategy more efficient and low time cost.