Digital image processing algorithms for visual navigation of an unmanned aircraft

Александр Александрович Макаренко, Л. А. Винокуров
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Abstract

The algorithms of digital image processing in the unmanned aerial vehicle (UAV) visual navigation system are stated and the program realization of the method is presented in the article. Assessment of a range of spatial frequencies of the image is carried out using the stated algorithms. The look and structure of a two-dimensional amplitude spatial spectrum of the image allow allocating existence of vertical and horizontal borders and lines on the image and giving a general idea about their spatial orientation. The spectral submission of the compared images is also used for the acceleration of correlation function calculations. Using the results of digital processing of an amplitude two-dimensional spatial range of the image observed by the onboard TV camera the data allowing to specify the spatial UAV coordinates and to estimate a condition and position of the airfield are formed. The method is based on the numerical analysis of a two-dimensional amplitude spectrum of the image. Results of operation that confirm efficiency of the stated algorithms are presented.
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无人机视觉导航的数字图像处理算法
本文阐述了无人机视觉导航系统中数字图像处理的算法,并给出了该算法的程序实现。使用所述算法对图像的一系列空间频率进行评估。图像的二维幅度空间谱的外观和结构允许在图像上分配垂直和水平边界和线条的存在,并给出关于它们的空间方向的一般概念。比较图像的光谱提交也用于加速相关函数的计算。利用机载电视摄像机观测到的图像幅度二维空间范围的数字处理结果,形成了用于确定无人机空间坐标和估计机场状况和位置的数据。该方法基于对图像二维振幅谱的数值分析。算例验证了所述算法的有效性。
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