基于匹配支持度的一种稳健性影像匹配

doi:10.6046/gtzyyg.2003.03.10

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摘要提出了一种新的计算匹配支持度数学模型,该模型使影像匹配的稳健性得到增强。首先,利用Harris算子在影像上提取特征点,根据相关系数建立特征点的候选匹配对应关系;然后,根据影像的长度变形、方向变形、灰度变形及双向一致性条件,计算匹配支持度;最后,根据双向一致性较强条件的松弛迭代法,消除候选匹配的模糊性。实践结果表明,该算法能建立一一对应且稳健性较强的匹配结果。

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Abstract：This paper proposes a new mathematical model for defining the matching support, which can remarkably improve the stability of matching. First, the interesting points are extracted by Harris algorithm, and the candidate matches can be found through correlation. Then the matching support can be calculated according to length distortion, direction distortion, gray distortion, and double faces constraint. Finally, relaxation is used to eliminate ambiguity of the matches. The experiment proves that, with this algorithm, we can establish relatively robust results characterized by one-to-one correspondence.

收稿日期: 2003-04-08 出版日期: 2011-08-02

基金资助:

中国地质调查局项目(20022019006)。

作者简介: 秦绪文(1977-),男,2000年6月获武汉测绘科技大学摄影测量与遥感学士学位,主要从事遥感地质的科研和生产工作.

引用本文:

秦绪文, 官小平, 关泽群. 基于匹配支持度的一种稳健性影像匹配[J]. 国土资源遥感, 2003, 15(3): 41-44.
QIN Xu-wen, GUAN Xiao-ping, GUAN Ze-qun. A ROBUST MATCHING ALGORITHM BASED ON MATCHING SUPPORT. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(3): 41-44.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2003.03.10 或 https://www.gtzyyg.com/CN/Y2003/V15/I3/41

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