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计算机工程 ›› 2006, Vol. 32 ›› Issue (8): 204-206.

• 人工智能及识别技术 • 上一篇    下一篇

一种基于特征角点和动态模板的遥感影像控制点匹配算法

邓小炼 1,王长耀1,王汶 2,李向军1,叶发茂1   

  1. 1. 中国科学院遥感应用研究所遥感信息科学重点实验室,北京 100101;2. 中国人民大学环境学院,北京 100872
  • 出版日期:2006-04-20 发布日期:2006-04-20

A Remote Sensing Image Ground Control Point Matching Algorithm Based on Feature Corner and Dynamic Template

DENG Xiaolian1, WANG Changyao1, WANG Wen2, LI Xiangjun1, YE Famao1   

  1. 1. Key Lab of Remote Sensing Information Sciences, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101;2. School of Environment and Natural Resources, Renmin University of China, Beijing 100872
  • Online:2006-04-20 Published:2006-04-20

摘要: 提出了特征提取和灰度相关相结合的控制点匹配算法:应用新算法提取特征角点作为控制点,在模板匹配计算中,采用动态模板进行不等距搜索。试验结果证明,该算法能准确提取特征角点,具有较高的控制点匹配精度和运算效率,有较强的适应性和应用价值。

关键词: 特征角点提取;控制点匹配;动态模板;不等距搜索

Abstract: This paper introduces an optimized point matching algorithm, the main idea is to extract ground control point by a new feature extraction method, and to search the sub image unequdistantly with dynamic template during template matching calculation. The result of the experiment demonstrates that the algorithm can extract valuable feature corners, and it has more matching accuracy and efficiency, and it also has more adaptability and applicable value.

Key words: Feature corner extraction; Control point matching; Dynamic template; Searching unequidistantly