基于共生矩阵的SAR图像村庄识别方法

A Village Recognition Method Based on Co-occurrence in SAR Image

针对SAR图像中村庄目标的纹理和结构特点,提出了一种纹理特征分析和基于村庄结构知识的后处理方法相结合的识别方法。在共生矩阵提取出图像纹理特征的基础上,通过实验选取三个合适的特征,计算特征矢量和样本中心距离来判决目标,以完成初步提取。然后针对道路,植被等目标造成的干扰状况,提出了一种基于计数滤波器和形态学方法的后处理方法对结果进行归整,消除大量虚警。最后根据村庄的结构知识约束,筛选目标,进一步减小虚警率,完成识别并提取出村庄的边缘轮廓结构。实验表明,该方法具有良好的识别效果。

This paper analyzes the village object＇ s feature of SAR image, and propose a recognition method based on texture analysis. Based on the texture computed by GLCM （Gray Level Co -occurrence Matrix） ,it chooses three suitable texture features, and computes the distance between feature vector and sample centre , and completes the first recognition. Then the morphological methods and count filter are used to process the result, which eliminates the false alarm , and filtrates the object based on structure feature restriction of object, finishes this recognition process. The experiment shows , this approach has a well recognition result.