| 基于SIFT的遥感图像配准方法 |
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| 引用本文： | 邓传斌,郭雷,李维.基于SIFT的遥感图像配准方法[J].传感技术学报,2009,22(12). |
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| 作者姓名： | 邓传斌 郭雷 李维 |
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| 作者单位： | 1. 西北工业大学自动化学院,西安,710129
2. 西安工业大学电子信息工程学院,西安,710032 |
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| 基金项目： | 国家自然科学基金资助 |
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| 摘 要： | 针对多传感器遥感图像配准问题,改进了一种基于SIFT的图像自动配准方法.首先提取图像中适应尺度变化的局部不变特征点,提出了利用最近邻特征点距离与次近邻特征点距离之比的互对应约束得到初始匹配点对,然后利用RANSAC(Random Sample Concensus)算法删除误匹配特征点对.试验结果表明:该方法能够实现多传感器遥感图像和不同分辨率图像的自动配准.
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| 关 键 词： | 图像配准 互对应约束 |
Remote sensing image registration algorithm based on SIFT |
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| DENG Chuanbin,GUO Lei,LI Wei.Remote sensing image registration algorithm based on SIFT[J].Journal of Transduction Technology,2009,22(12). |
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| Authors: | DENG Chuanbin GUO Lei LI Wei |
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| Affiliation: | DENG Chuanbin1,GUO Lei1,LI Wei2 1.Departmetn of Automation,Northwestern Polytechnical University,Xi'an,710129 China,2.Departmetn of Electronics , Information Engineering,Xi'an Technological University,Xi'an 710032,China |
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| Abstract: | To resolve multi-sensor remote sensing image registration,an method based on scale invariant features transform(SIFT)is proposed.First,the local invariant features of images are extracted,Ratio of the first and the second nearest neighbor distance with mutual correspondence constraint is used to setup the initial correspondences.Then,Random Sample Concensus algorithm is used to remove the mismatched feature points.Experiments demonstrate automatic registration of multi-sensor remote sensing images and image... |
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| Keywords: | SIFT RANSAC image registration scale invariant features transform mutual correspond dence constraint Random Sample Concensus |
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