›› 2012, Vol. ›› Issue (06): 1576-1580.

• 论文 • 上一篇    下一篇

异源高分辨率卫星遥感影像配准新方法

宋伟东1, 戴激光1, 李建军2, 李健3   

  1. 1. 辽宁工程技术大学 测绘与地理科学学院, 辽宁 阜新 123000;
    2. 辽宁工程技术大学 理学院, 辽宁 阜新 123000;
    3. 吉林农业大学 信息技术学院 长春130118
  • 收稿日期:2012-02-15 出版日期:2012-11-01
  • 基金资助:
    国家自然科学基金项目(40771159);吉林农业大学青年启动基金项目(201040).

New automatic registration method for multi-source high resolution satellite images

SONG Wei-dong1, DAI Ji-guang1, LI Jian-jun2, LI Jian3   

  1. 1. School of Geomatics, Liaoning Technical University, Fuxin 123000, China;
    2. School of Science, Liaoning Technical University, Fuxin 123000, China;
    3. College of Information and Technology Jilin Agricultural University, Changchun 130118, China
  • Received:2012-02-15 Online:2012-11-01

摘要: 首先建立了粗配准模型。然后对影像进行边缘提取,采用Hough变换提取同名直线。利用同名直线交点构建虚拟点集并进行特征描述,通过几何约束和互信息方法提取初始同名点。最后采用RANSAC算法获取最终的匹配结果,并利用获取的同名点对构建三角网进行小面元纠正。实验结果表明:相对于传统的SIFT匹配算法,本文方法可提取更多的同名点,均方根误差(RMSE)可以控制在1个像素以内。

关键词: 遥感技术, 配准, 异源, 高分辨率卫星影像

Abstract: First, a coarse registration model was built. Second, after image edge extraction, Hough transform was employed to extract matched line. Virtual corner dataset was constructed on the basis of the matched lines, description of the dataset was performed, the initial homonymous points are extracted according to the constraint geometry and mutual information. Finally, RANSAC algorithm was used to obtain the final results of the matching, a great amount of high precision control point pairs are used to construct TIN for tiny facet primitive rectification. Experiment results demonstrate that the presented method can extract more matching points than that SIFT matching method can. The Root of Mean Square Error of the matching points obtained by this method is lower than 1 pixel.

Key words: remote sensing technology, registration, multi-source, high resolution satellite images

中图分类号: 

  • P237
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