Algorithm for unmanned aerial vehicle aerial different-source image matching

	Algorithm for unmanned aerial vehicle aerial different-source image matching
	Zuo, Y. J.; J. H. Liu; M. Y. Yang; X. Wang and M. C. Sun
	2016
发表期刊	Optical Engineering
卷号	55 期号:12
摘要	The fusion between visible and infrared images captured by unmanned aerial vehicles (UAVs), both complementary to each other, can improve the reliability of target detection and recognition and other tasks. The images captured by UAV are featured by high dynamics and complex air-ground target background. Pixel-level matching should be conducted for the two different-source images, prior to their fusion. Therefore, an improved matching algorithm has been proposed that combines the improved Shi-Tomasi algorithm with the shape context (SC)-based algorithm. First, the Shi-Tomasi algorithm is employed to conduct feature-point detection in the scale space. The tangential direction of the edge contour where the feature-point lies is taken as its main direction, so as to guarantee the algorithm's rotational invariance. Then, this paper conducts the block description for the extracted feature-point within the n x n neighborhood of its edge contour to obtain its descriptors. Finally, a fast library for approximate nearest neighbors matching algorithm is adopted to match all the feature-points. And the experimental results show that, in the scene where the shape of the main target is clear, the algorithm can achieve better matching and registration results for infrared and visible images that have been transformed through rotation, translation, or zooming. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
文章类型	期刊
收录类别	SCI ; EI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/57501
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zuo, Y. J.,J. H. Liu,M. Y. Yang,et al. Algorithm for unmanned aerial vehicle aerial different-source image matching[J]. Optical Engineering,2016,55(12).
APA	Zuo, Y. J.,J. H. Liu,M. Y. Yang,&X. Wang and M. C. Sun.(2016).Algorithm for unmanned aerial vehicle aerial different-source image matching.Optical Engineering,55(12).
MLA	Zuo, Y. J.,et al."Algorithm for unmanned aerial vehicle aerial different-source image matching".Optical Engineering 55.12(2016).

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