基于无人机航拍的公路图像拼接方法研究

摘要

随着公路建设的快速发展，利用传统人工查看的方式对公路标线以及公路基础设施的检测方法已不再适用。随着无人机航拍技术的成熟，利用无人机航拍图像对公路标线及基础设施进行查看分析无疑是一种更好的检测方式。本文根据无人机航拍公路图像，提出一种针对无人机航拍公路图像进行拼接的优化方法。首先通过SURF特征检测方法提取公路图像关键点，然后利用BBF以及针对公路的优化算法进行特征点匹配以及筛选，得到图像的变换矩阵，最后利用图像加权融合的方法对公路图像进行融合拼接，得到一条完整的公路图像。实验结果表明，该方法具有很好的适用性，可以很好地满足实际使用的要求。%With the rapid development of the highway construction, using traditional artificial view to detect road marking and road infrastructure is no longer applicable. With the mature of the UAV aerial technology, using UAV aerial to analyze the road infrastructure will undoubtedly be a better way of detection. In this paper, we mosaic the road images taking by the UAV aerial, and propose a new optimization method. Firstly, we extract the road image point by the SURF method, and then we match and fil-ter the feature points by BBF algorithm and our optimization algorithm, finally we use image weighted method to mosaic the road images and get a whole highway image. The experimental results show that the method has stronger applicability and generality, can meet the practical requirements.