基于决策级融合的多波段SAR目标检测方法

A Multi-band SAR Target Detection Method Based on Decision Fusion

摘要: 为了提高SAR图像目标检测性能,提出了一种目标检测方法。该方法首先利用智能索引变量恒虚警和二次检测对多波段SAR图像进行目标检测,然后利用Neym an-Pearson准则对检测结果进行决策级融合,在保证融合前后虚警概率一致的前提下,可大幅度提高检测概率。给出了应用该方法的具体步骤,并通过实际数据证明了该方法的有效性。

Abstract: To improve the multi-band SAR image target detection performance,a method is proposed in this paper.This method firstly apply variability index CFAR(VI-CFAR) and the second time detection to multi-band SAR image,then use Neyman-Pearson criterion to fuse the detection result,which can raise the detection probability greatly.Experiments on real data proved the advantage of this method.