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基于联合相似测度的SAR图像边缘点特征配准方法 被引量：3

The edge point registration method of SAR images based on the joint similarity
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摘要 针对SAR图像配准过程中几何变换影响特征匹配稳健性和适应性的问题,提出了一种在特征匹配过程中直接解算几何变换模型的边缘点特征配准方法。利用SAR图像边缘点的梯度和方向特征,基于像素迁移思想,定义了图像匹配的联合相似度——联合特征均方和(SSJF),并建立了SAR图像边缘点集相似性匹配准则;基于方向模板提出了改进的ROEWA算子;利用改进的遗传算法(GA)来进行相似度的全局优化搜索,获取配准模型参数;利用多幅SAR图像的配准试验,对本文方法的性能进行了验证。 An edge point matching method of SAR image based on the joint similarity is presented. First, the matching similarity criterion and the joint similarity SSJF（ Square Summation Joint Feature） were constructed, based on the grad and direction of each edge point in images. Next, a modified ROEWA edge detector was proposed to get the edge intensity and edge direction with the eight directional templates. Then, parameters of the transform model between the matching SAR images were calculated with the modified GA, which is used to obtain the global optimum solution of the similarity. Finally, the performance of the method was validated with SAR image registration experiments.
作者 陈天泽 李燕
机构地区 国防科技大学电子科学与工程学院 炮兵防空兵装备技术研究所
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2013年第4期67-73,共7页 Journal of National University of Defense Technology
基金 国家自然科学基金资助项目(61002023)
关键词 SAR图像配准 像素迁移 联合相似测度 遗传算法 SAR images registration pixel migration joint similarity genetic algorithm（GA）
分类号 TP751 [自动化与计算机技术—检测技术与自动化装置]
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参考文献12

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共引文献33

同被引文献47

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引证文献3

二级引证文献18

国防科技大学学报
2013年 第4期

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