基于特征点和最优路径的无人机影像拼接方法

doi:10.11873/j.issn.1004-0323.2012.2.173

遥感技术与应用

2012, Vol. 27

Issue (2): 173-176 DOI: 10.11873/j.issn.1004-0323.2012.2.173

图像与数据处理

基于特征点和最优路径的无人机影像拼接方法

何敬,李永树

(西南交通大学地理信息工程中心,四川成都 610031)

A Mosaic Method in Unmanned Aerial Vehicle Images based on Feature Points and Optimal Path

He Jing,Li Yongshu

(GIS Engineering Center of Southwest Jiaotong University,Chengdu 610031,China)

全文: PDF(1362 KB)

摘要：

利用SIFT算法对无人机影像进行匹配,采用距离阈值的方法剔除匹配后距离较近的特征点。为了降低误差累积对影像拼接效果的影响,提出了最佳基准影像的选择方法,同时将Dijkstra算法引入到拼接路径的搜索中,利用影像间的投影转换误差构建搜索权阵。结果表明:最优路径的拼接方法能有效避免投影误差较大的影像对后续拼接影像的影响,减少了影像投影转换次数,改善了影像的拼接效果。

关键词： 无人机影像; SIFT; 最优路径; 影像拼接

Abstract:

The SIFT algorithm was used in Unmanned Aerial Vehicle images matching,the distance threshold filter was used to remove too close feature points.In order to reduce the error accumulation which can effect on the results of image mosaic,and shorten the path splicing,an optimal base image selection method was introduced,meanwhile,the Dijkstra algorithm was introduced into the search of stitching path,and the project conversion errors between the two images were used to build the search array.The experimental results indicated that this optimal path method can avoid the influences of the image which has large projection error mosaic with the follow\|up images effectively,and reduce the number of image projection transformation,which can improve the mosaic effect.

Key words: Unmanned Aerial Vehicle images SIFT Optimal path Image mosaic

收稿日期: 2011-07-12 出版日期: 2013-01-23

TP 75

基金资助:

“十一五”国家科技支撑计划重大项目(2006BAJ05A13)。

通讯作者: 李永树(1957-),男,四川广元人,教授,博士生导师,主要从事GIS理论及应用、遥感数据处理与制图研究。Email:yshli@home.swjtu.edu.cn。

作者简介: 何敬(1983-),男,河南光山人,博士研究生,主要从事3S技术与系统集成研究。Email:xiao00yao@163.com。

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引用本文:

何敬,李永树. 基于特征点和最优路径的无人机影像拼接方法[J]. 遥感技术与应用, 2012, 27(2): 173-176.

He Jing,Li Yongshu. A Mosaic Method in Unmanned Aerial Vehicle Images based on Feature Points and Optimal Path. Remote Sensing Technology and Application, 2012, 27(2): 173-176.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2012.2.173 或 http://www.rsta.ac.cn/CN/Y2012/V27/I2/173

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