| 基于统计模型的三线阵CCD影像并行匹配算法 |
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| 引用本文： | 汪日伟,温显斌,张桦,刘凤连,邹永廖,郑永春.基于统计模型的三线阵CCD影像并行匹配算法[J].光电子．激光,2012(6):1196-1200. |
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| 作者姓名： | 汪日伟 温显斌 张桦 刘凤连 邹永廖 郑永春 |
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| 作者单位： | 天津理工大学计算机视觉与系统教育部重点实验室;天津理工大学天津市智能计算及软件新技术重点实验室;天津理工大学计算机视觉与系统教育部重点实验室;天津理工大学天津市智能计算及软件新技术重点实验室;天津理工大学计算机视觉与系统教育部重点实验室;天津理工大学天津市智能计算及软件新技术重点实验室;天津理工大学计算机视觉与系统教育部重点实验室;天津理工大学天津市智能计算及软件新技术重点实验室;中国科学院国家天文台;中国科学院国家天文台 |
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| 基金项目： | 国家“863”计划重点项目(2010AA1222001);国家自然科学基金(60872064,61102125);天津市自然科学基金(12JCYBJC10200);天津市教委基金(20100803)资助项目 |
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| 摘 要： | 在基于统计方法实现CCD影像匹配算法的基础上,提出了CCD影像匹配计算任务的分解方法和计算任务的调度策略,进一步构建了基于统计模型的三线阵CCD影像匹配算法的并行计算方案。并通过实验进行了验证,结果表明,对于CCD影像该并行匹配算法获得了良好的加速比,可扩展性好。适用于超大规模的三线阵CCD影像中同名像点的匹配计算。
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| 关 键 词： | CCD影像 影像匹配 任务调度 并行算法 |
Parallel algorithm of CCD image matching based on statistical shape models |
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| WANG Ri-wei,WEN Xian-bin,ZHANG Hu,LIU Feng-lian,ZOU Yong-liao and ZHENG Yong-chun.Parallel algorithm of CCD image matching based on statistical shape models[J].Journal of Optoelectronics·laser,2012(6):1196-1200. |
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| Authors: | WANG Ri-wei WEN Xian-bin ZHANG Hu LIU Feng-lian ZOU Yong-liao and ZHENG Yong-chun |
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| Affiliation: | Key Laboratory of Computer Vision and System,Ministry of Education,Tianjin University of Technology,Tianjin 300191,China;2.Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin University of Technology,Tianjin 300191,China;Key Laboratory of Computer Vision and System,Ministry of Education,Tianjin University of Technology,Tianjin 300191,China;2.Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin University of Technology,Tianjin 300191,China;Key Laboratory of Computer Vision and System,Ministry of Education,Tianjin University of Technology,Tianjin 300191,China;2.Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin University of Technology,Tianjin 300191,China;Key Laboratory of Computer Vision and System,Ministry of Education,Tianjin University of Technology,Tianjin 300191,China;2.Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology,Tianjin University of Technology,Tianjin 300191,China;National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100012,China;National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100012,China |
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| Abstract: | Fast CCD image matching is a key technology to achieve lunar three-dimensional reconstruction in China′s lunar exploration project.In this paper,according to some available researches,a parallel CCD image matching algorithm based on statistical model has been presented and implemented.In the algorithm,we study the load balancing problem for CCD image matching at first,and then we establish tasks decomposition method,which uses image data division.At last,we build a task scheduling strategy for CCD image matching algorithm,which not noly reduces the communication consumption,but also achieves better load balancing.Experiments show that the parallel matching algorithm for CCD image has good speedup and scalability.The algorithm is suitable for the ultra-large-scale CCD image matching. |
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| Keywords: | CCD image image matching task scheduling parallel algorithm |
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