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一种新的SAR影像中目标准确提取方法 被引量:1

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摘要 提出一种基于小波纹理与改进的模糊C均值(IFCM)聚类的对合成孔径雷达(SAR)影像进行机场类目标准确提取的方法。首先,利用小波多尺度分析对影像进行分解,得到不同方向上小波频带,然后对不同的小波频带进行小波纹理分析——使用频率共生矩阵4个关键特征来描述,得到小波纹理特征向量。再应用IFCM聚类对小波纹理特征空间进行分割,进而提取出机场目标。该方法是一种有效提取机场类目标的并行非监督无需初始点的算法,通过实验比较得出,提取此类SAR图像机场目标的准确率比传统阈值和Hough变换的方法要好。
出处 《计算机应用》 CSCD 北大核心 2007年第B12期69-71,74,共4页 journal of Computer Applications
基金 上海市科委重点课题资助项目(05DZ12006)
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参考文献9

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