测绘学报 ›› 2014, Vol. 43 ›› Issue (7): 717-723.

• 学术论文 • 上一篇    下一篇

影像匹配粗差的局部矢量面元剔除方法

张永军1,王博1,黄旭2,段延松1   

  1. 1. 武汉大学遥感信息工程学院
    2. 武汉大学
  • 收稿日期:2013-01-06 修回日期:2014-01-11 出版日期:2014-07-20 发布日期:2014-07-29
  • 通讯作者: 王博 E-mail:bo.wang.rs@gmail.com

The Eliminate Method of Image Matching Gross Error Based on Local Vector Binning

  • Received:2013-01-06 Revised:2014-01-11 Online:2014-07-20 Published:2014-07-29

摘要:

提出了一套适用于影像匹配粗差的剔除方法。首先消除匹配像对间的系统性差异;然后通过构建匹配同名点的三角网结构,实现匹配结果的局部面元分割;在局部面元上进行矢量统计,引入针对局部敏感的矢量描述子指标,根据误差分布满足正态分布规律的假设设定合理的阈值,并最终实现影像匹配粗差的快速剔除。多组数据的实验验证了所提方法的可行性。该方法已成功应用于卫星影像与低空影像的自动化处理系统。

关键词: 影像匹配, 粗差剔除, 局部面元, 矢量描述子

Abstract:

This paper proposes a eliminate method that can apply to the gross error in image matching. The whole process can be divided into three steps. First, the Systematic differences are offset. Then, Triangulated Irregular Network (TIN) of image matching points are constructed to get the partitioning local binning. Based on the normal distribution of the image matching gross error, vector descriptor is proposed in the statistics on the local binning. The Reasonable threshold is set for quickly elimination of gross error. The feasibility of the method is tested based on the experimental verification of multiple groups of data. This method has been successfully applied to processing system of satellite image and low-level image.

Key words: image matching, gross error elimination, local binning, vector descriptor

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