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。
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.
出处
《飞行器测控学报》
2006年第3期20-24,共5页
Journal of Spacecraft TT&C Technology
关键词
无人机
图像匹配
导航定位
双谱
相位相关
Unmanned Aerial Vehicle （UAV）
Image Matching
Navigation and Positioning
Bi-spectrum
Phase-Correlation
