| 引用本文: | 陈天泽,李燕.基于联合相似测度的SAR图像边缘点特征配准方法.[J].国防科技大学学报,2013,35(4):67-73.[点击复制] |
| CHEN Tianze,LI Yan.The edge point registration method of SAR images based on the joint similarity[J].Journal of National University of Defense Technology,2013,35(4):67-73[点击复制] |
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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 |
| 陈天泽1, 李燕2 |
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(1.国防科技大学 电子科学与工程学院， 湖南 长沙 410073;2.炮兵防空兵装备技术研究所，北京 100012)
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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。 |
| 关键词: SAR图像配准 像素迁移 联合相似测度 遗传算法 |
| DOI： |
| 投稿日期：2012-10-29 |
| 基金项目:国家自然科学基金资助项目（61002023） |
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| The edge point registration method of SAR images based on the joint similarity |
| CHEN Tianze1, LI Yan2 |
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(1.College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;2.Artillery and Air Defense Corps Research Institute of Equipment & Technologies,Beijing 100012, China)
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| Abstract: |
| 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. |
| Keywords: SAR images registration pixel migration joint similarity genetic algorithm(GA) |
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