基于预测区域匹配的无人机航拍图像快速拼接  

Fast UAV Aerial Image Stitching Based on Predicted-Region Matching

作　　者：高春晓[1] 熊鹏[1] 周暂 刘宪朋 李枭雄[1] 高超[1] 

机构地区：[1]北京理工大学计算机学院,北京100081

出　　处：《北京理工大学学报》2014年第11期1202-1206,共5页Transactions of Beijing Institute of Technology

基　　金：国家重点预研项目

摘　　要：利用无人机侦查拍摄的图像,拼接成整个战场的全景图,方便指挥人员了解战场动态,做出战略决策.根据无人机航拍图片序列的特点,提出了一种快速精确的拼接方法,即在无人机航拍图片拼接过程中,使用一种创新的匹配对齐策略,根据图片间的重叠率构造估计范围矩形,仅对矩形区域内的特征点进行匹配计算,然后使用图像融合等方法优化拼接效果.此算法提高了鲁棒性,可在短时间内获得较好的拼接效果.分别对谷歌地球卫星图片和无人机航拍真实数据进行实验,验证了算法的有效性.Image stitching is one of the most important core technologies in UAV research areas. In battlefield, the images captured by UAV will be stitched into a panorama picture in order to help commanding officers understand the battlefield dynamics and make strategic decisions. In this paper, a fast and accurate algorithm of stitching based on UAV images was proposed. Aerial images will be processed by feature detection and extraction, and then an innovative matching strategy within a predicted region, finally a feather blender. This algorithm is fast with good quality. The effectiveness and efficiency were confirmed using both Google Earth images and real UAV images in experiments.

关 键 词：预测区域匹配 图像拼接 无人机 航拍图像 图像配准 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]