基于加权特征融合的 SAR 图像目标分类方法

针对现有分类器对 SAR 图像分类正确率不高的问题，考虑到单一的特征很难完全描述 SAR 目标，并且单一的分类器识别率有限，提出了一种基于加权特征融合的图像分类方法，采用多种特征来描述目标，并且用多个分类器同时对目标识别。实验结果显示，提出的方法能够达到较高的分类正确率，证明了该方法的有效性。

Research on Target Classification Method Based on Weighted Feature Fusion for SAR Image

In view of that the existing classifiers to SAR image classification accuracy is not high, considering the single characteristic is difficult to fully describe the characteristics of SAR target,and single classifier recognition rate is limited,this paper proposed a method for image classification based on weighted feature fusion,and a variety of characteristics were used to describe the target,and multiple classifier was used in the target recognition.The experimental results show that the proposed method can achieve higher classification accuracy and prove the effectiveness of the proposed method.