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基于小波多分辨率分析的无人机图像定位方法研究

UAV Image Location Based on Wavelet Multiresolution Analysis
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摘要 采用图像匹配辅助导航方法可以极大地提高无人机的作战和生存能力,文中结合无人机航拍图像的特点提出了基于小波多分辨率分析的图像匹配方法。该算法首先利用正交小波分解图像,形成图像金字塔结构描述,提取不同尺度下的图像边缘特征,从粗尺度到细尺度的逐步搜索确定最佳匹配位置.将该算法应用于航拍图像,仿真结果表明算法是有效,可行的。 The image matching of aided navigation can enhance UAV operational and alive capability.Taking into account characteristic of the UAV aerial images,this paper present a wavelet-based multiresolution analysis hierarchical scheme for image matching.The algorithm decomposed a image by orthogonal wavelet and the image pyramid is gained.It ex- tracts edge as feature at different levels of subband images,and a guided searching strategy for the best matching from coarse level to fine level is realized.At last,the algorithm is used in UAV aerial images.The results show proposed ap- proach is effective.
出处 《弹箭与制导学报》 CSCD 北大核心 2004年第S4期359-361,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 无人机 航拍图像 图像匹配 小波多分辨率分析 HAUSDORFF 距离 UAV aerial images image matching wavelet multiresolution analysis Hausdorff distance
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参考文献6

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