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

doi:10.11873/j.issn.1004-0323.2012.2.173

Remote Sensing Technology and Application

2012, Vol. 27

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

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)

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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

Received: 12 July 2011 Published: 23 January 2013

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Cite this article:

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.

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

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