节点文献
相对定向中最优特征点匹配算法的研究与应用
Best feature point matching method research and application in automatic relative orientation
【摘要】 全自动相对定向的关键技术是特征点的自动匹配算法,包括特征点提取算法和特征点匹配算法。本文在分析了几种常用算法的基础上,提出了基于区域特征与角点特征相结合的匹配方法,实验表明该方法精度高、稳定性好,在实际应用中也取得良好效果。
【Abstract】 Image matching based on feature point is the key technology in automatic relative orientation.Nowadays,feature detectors such as Frstner、Moravec、Harris、SIFT are being applied widely in photogrammetry.What are the respective characteristics of them? And how about the influence of those method on precision in relative orientation? The paper introduced the Basic principle of those methods and presented a new matching method based on combining feature detectors and descriptors.The experimental results indicate that it has the advantages of high precision,high reliability.The technique has already been used in practical application and has achieved a satisfactory result,and has a significant reference for research and application in the future.
【Key words】 relative orientation; feature detector; least square matching; reliability;
- 【文献出处】 测绘科学 ,Science of Surveying and Mapping , 编辑部邮箱 ,2010年04期
- 【分类号】P23
- 【被引频次】10
- 【下载频次】326