基于最大稳定极值区域仿射不变特征的无人机影像匹配算法研究  

Study on the UAV Image Matching Algorithm Based on the Affine Invariant Feature of the Maximally Stable Extremal Regions

作　　者：陈钟鸿 CHEN Zhonghong(Guangzhou Urban Planning and Surveying Design Research Institute,Guangzhou 510000,China)

机构地区：[1]广州市城市规划勘测设计研究院,广东广州510000

出　　处：《测绘与空间地理信息》2020年第3期215-217,220,224,共5页Geomatics & Spatial Information Technology

摘　　要：无人机影像匹配是无人机影像技术应用中的一个重要研究领域,对其展开探讨具有十分重要的意义。本文围绕最大稳定极值区域的仿射不变特征,研究一种新式的无人机影像匹配计算方法,经实验验证,应用该算法能够取得良好的影像匹配效果。It is of great significance to discuss UAV image matching,which is an important research field in the application of UAV image technology. This paper focuses on the affine invariant feature of the "maximally stable extremal regions"(MSER) and studies a new method of UAV image matching calculation. It is verified through experiments that the algorithm can achieve good image matching effects.

关 键 词：最大稳定极值区域 仿射不变特征 影像匹配 算法 

分 类 号：P231[天文地球—摄影测量与遥感]