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基于双谱相位算法的无人机图像定位研究
引用本文:吴益明,卢京潮,连玮,魏莉莉.基于双谱相位算法的无人机图像定位研究[J].飞行器测控学报,2006,25(3):20-24.
作者姓名:吴益明  卢京潮  连玮  魏莉莉
作者单位:西北工业大学自动化学院 陕西西安.710072
摘    要:由于传统的定位方法都有不同程度的缺陷,如GPS导航或者捷联惯导,所以借助图像匹配技术实现无人机导航定位具有重要研究意义。双谱中只提取相位信息,形成基于相位谱的算法,能很好地抑制不均匀的光照度变化等。首先以对数-极坐标方式进行相位谱的采样处理,然后由相位相关算法获取尺寸和旋转校正值。校正之后,再由相位相关算法进行2幅图像之间的平移配准。仿真结果验证了该算法不仅有很高的配准精度,而且有很强的稳健性。

关 键 词:无人机  图像匹配  导航定位  双谱  相位相关
收稿时间:2006-01-13

Researches on UAV Image Matching Based on Phase-Only Bi-spectrum
WU Yi-ming, LU Jing-chao, LIAN Wei, WEI Li-li.Researches on UAV Image Matching Based on Phase-Only Bi-spectrum[J].Journal of Spacecraft TT&C Technology,2006,25(3):20-24.
Authors:WU Yi-ming  LU Jing-chao  LIAN Wei  WEI Li-li
Abstract:Because there are much disadvantages in variant extent for conventional positioning methods,such as GPS and strap-down inertial navigation,etc.,it is very significative that we realized UAV navigation and positioning with the method of image matching.Only the phase information is extracted from the bi-spectrum in order to form the algorithm of phase-only bi-spectrum,which can restrain better the nonuniform illumination changes.The scale and the rotation parameters are estimated from the log-polar sampled spectrum using phase-correlation.After revising these parameters,the translation parameter is then matched using the phase-correlation.The simulation result shows that the algorithm is not only precise for matching,but also quite robust.
Keywords:Unmanned Aerial Vehicle(UAV)  Image Matching  Navigation and Positioning  Bi-spectrum  Phase-Correlation
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