柯涛;陈彪;李从敏;

• 1:武汉大学遥感信息工程学院
• 2:武汉大学测绘遥感信息工程国家重点实验室

摘要(Abstract)：

针对面阵影像与线阵影像之间存在的尺度、旋转等几何差异所导致的难以高效获得稳定可靠匹配点问题,该文提出了一种稳健的面阵影像与线阵影像匹配方法。算法分为3个阶段:(1)对影像进行尺度、旋转预处理,消除影像间的尺度和旋转差异;(2)用Harris算子提取特征点,进行逐层金字塔匹配,在最底层影像上进行最小二乘匹配获取精匹配点,利用随机抽样一致算法获取准确性较高的匹配点;(3)对准确性较高的匹配点分区,构建4块匹配区域,根据每块区域的匹配点计算重心,以此4块区域的重心作为匹配基准点和基准方向,重约束初始匹配结果。通过多组面阵影像与线阵影像数据实验结果,验证了该方法的可行性和有效性,可为后续空中三角测量及相关应用提供可靠的匹配点。

关键词(KeyWords)： 面阵影像;线阵影像;基准点;基准方向;Harris特征点;相关系数;分块匹配

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41201482)

作者(Author): 柯涛;陈彪;李从敏;

Email:

DOI: 10.16251/j.cnki.1009-2307.2017.08.014

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