金字塔分层影像双向匹配的树木图像匹配策略

Tree images matching strategy based on pyramid delaminating image bidirectional matching algorithm

本文以低成本、易操作的非量测数码相机为工具,通过对获得的树木影像利用改进集群聚类算法进行分割,对分割结果利用SUSAN算子提取特征点,设计并实现了一种基于金字塔分层影像双向匹配的树木近景影像匹配策略,同时与传统的基于相似性测度的影像匹配方法进行了精度对比分析,实验结果表明:基于金字塔分层影像双向匹配的实验树木近景影像匹配算法策略的均方误差和误匹配率均优于传统方法,在实际应用中具有可行性。

The paper dealt with the single tree images with non-metric digital camera which was low in price and easy to be operated, extracted feature points by the improved cluster classification method and SUSAN operator, designed and realized a single tree matching strategy based on pyramid delaminating image bidirectional matching algorithm. At the same time an accuracy comparison with the traditional ways was made. It was revealed by the experimental results that the accuracy of the single tree close-range photogrammetry matching arithmetic based on pyramid delaminating image bidirectional matching algorithm was much higher than that of the traditional ways and could meet the requirement of practical application.