Target detection in SAR images based on knowledge

A target detection method in SAR images is proposed. The prior knowledge is used to detect the military vehicles. The target probability is influenced by the terrain type, the hedge proximity and the proximity of other targets. Classification technique is used to get the terrain types and hedge of the image, and the influence factor is calculated. Then with the terrain types, the MAP technique is used to detect the targets. Experiments using SAR images indicate that compared with CFAR techniques, the new method proposed in this article increases the detection rate and decreases the number of false targets.