Novel Target Detection Algorithm for SAR Image
Jian Guan · Jisuanji gongcheng · 2009
A Synthetic Aperture Radar(SAR) image detection algorithm which unifies with the data related base and the fixed base is proposed.The target features which are extracted in two kind of different spaces are fused separately.They are modulated each other.The target features can be protruded by this algorithm.The targets are detected by using the priori knowledge in the saliency map.Experimental results with ADTS target high-resolution airborne SAR data show that the target area can pop out with the background being restrained and the algorithm has higher detection accuracy.