摘要
针对无人机影像数据量大、存在旋转和尺度变化的问题,提出了基于特征联合提取与双向匹配的影像配准方法。分析了SURF算法和BRISK算法的特点,研究了融合SURF特征点检测和BRISK特征点描述的影像特征联合提取和PROSAC双向匹配的算法和步骤,并结合试验分析验证了该方法的有效性。
Aiming at the problem of UAV images with large number and changes of rotation and scaling,a method of image registration based on united extraction of features and cross matching is proposed.The characteristics of SURF algorithm and BRISK algorithm are analyzed.The algorithms and steps of united extraction of image features with SURF feature point detection and BRISK feature point description and PROSAC cross matching are studied.The validity of this method is verified by experimental analysis.
作者
吉文来
赵湘玉
李明峰
JI Wenlai;ZHAO Xiangyu;LI Mingfeng(School of Geomatics Science and Technology,Nanjing Tech University,Nanjing 211816,China)
出处
《测绘通报》
CSCD
北大核心
2019年第12期56-59,64,共5页
Bulletin of Surveying and Mapping
基金
南京市科技计划(201716027)
江苏省测绘地理信息科研项目(JSCHKY201809)
关键词
无人机影像
特征点提取
特征点匹配
双向匹配
影像配准
UAV image
feature point extraction
feature point matching
cross matching
image registration
