基于卫片的非序列无人机影像快速概略拼接方法

发布时间：2018-01-24 16:05

本文关键词： 非序列影像无人机卫片概略拼接 SURF 模板匹配　出处：《测绘通报》2016年07期 　论文类型：期刊论文

【摘要】：针对非序列无人机影像,提出了一种基于卫星影像的无人机影像快速概略拼接方法。该算法首先利用改进的SURF算法提取特征点,然后利用最小欧氏距离寻找匹配点,最后结合模板匹配方法确定最终的正确匹配点。利用匹配点的尺度和方向信息计算无人机与卫星影像之间的相似变换参数,确定无人机影像的概略位置。试验结果表明,该算法拥有快速、准确和高适用性等优势,对卫星影像没有严格的时效限制,有一定的地形变化容错能力,能够满足快速概略拼接的要求,是一种可行的无人机影像概略拼接新方法。
[Abstract]:For non-sequential UAV images, a fast generalization mosaic method based on satellite images is proposed. Firstly, the improved SURF algorithm is used to extract feature points. Then the minimum Euclidean distance is used to find the matching point and the template matching method is used to determine the correct matching point. The scale and direction information of the matching point is used to calculate the similar transformation parameters between UAV and satellite image. The experimental results show that the algorithm has the advantages of fast, accurate and high applicability, and has no strict time-limit for satellite images, and has a certain ability of fault tolerance of terrain change. It can meet the requirement of rapid approximate stitching and is a feasible new method of UAV image concatenation.
【作者单位】：河海大学地球科学与工程学院;河海大学文天学院;
【基金】：国家自然科学基金(41471276;51079053)
【分类号】：P237
【正文快照】： A Fast and Sketchy Method for Non-sequential Image Mosaickingof UAV Using Satellite ImageSUN Yanwei,LI Hao,SUN Li,LI Yumin无人机遥感是一种低成本、高灵活度的遥感手段,已经广泛应用于工程勘察、城市规划、灾害监测和土地利用调查[1]等方面,有效弥补了卫星影像分辨

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