| 基于点特征的多源遥感影像高精度自动配准方法 |
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| 引用本文： | 翟涌光,王耀强.基于点特征的多源遥感影像高精度自动配准方法[J].遥感技术与应用,2010,25(3):404-409. |
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| 作者姓名： | 翟涌光 王耀强 |
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| 作者单位： | 内蒙古农业大学水利与土木建筑工程学院,内蒙古 呼和浩特 010018 |
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| 摘 要： | 提出了一种基于点特征的多源遥感影像高精度自动配准方法。该方法采用了由粗到精的配准策略。首先利用SIFT算子和一次多项式实现影像的粗配准,粗配准后的影像和参考影像将处于同一尺度（像素采样间隔）和参考坐标系下。其次在粗配准后的影像上提取分布均匀的特征点,根据前一步得到的影像间的坐标关系,在参考影像上确定一个较小的搜索范围,使用相关系数匹配出同名点,同时用Baarda数据探测法剔除粗差。最后根据同名点构建三角网对影像进行精配准。实验结果表明:该方法能够实现多源遥感影像的高精度配准。
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| 关 键 词： | 影像配准 SIFT特征 Harris算子 Baarda数据探测法 TIN |
An Automatic and High-precision Registration Method Based on Point Features for Multi-source Remote Sensing Images |
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| ZHAI Yong-guang,WANG Yao-qiang.An Automatic and High-precision Registration Method Based on Point Features for Multi-source Remote Sensing Images[J].Remote Sensing Technology and Application,2010,25(3):404-409. |
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| Authors: | ZHAI Yong-guang WANG Yao-qiang |
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| Affiliation: | Water Conservancy and Civil Engineering College of Inner Mongolia Agriculture University,Hohhot 010018,China |
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| Abstract: | This paper proposes an automatic and high-precision registration method based on point features for multi-source remote sensing images.The proposed method is a two-step process including pre-registration and fine-tuning registration.Firstly,the method detects the matching points by the Scale Invariant Feature Transform(SIFT) algorithm and the input image is pre-registered by using linear polynomial model.As a result,the input image is transformed to the same spatial pixel size and the reference coordinate system as the reference image.After a large number of feature are detected based on the Harris corner detector in the image pre-registered,tie point pairs are found in a small search scope which is identified in the reference image by correlation coefficient.Tie point pairs with large errors are pruned by Baarda data snooping method.Finally,the images are divided into a number of triangular regions by constructing the Triangulated Irregular Network(TIN),and the high precise rectification and registration can be fulfilled on each triangular region one by one.Experiments demonstrate that the method achieve precise registration of multi-source remote sensing images. |
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| Keywords: | Image registrationzz SIFTzz Harriszz Baardazz TINzz |
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