基于无人机影像的畸变校正研究  

Research of Distortion Correction Based on UAV Images

作　　者：唐敏[1] 李永树[1] 王生明[1] 

机构地区：[1]西南交通大学地理信息工程中心,四川成都610031

出　　处：《激光与光电子学进展》2013年第6期83-88,共6页Laser & Optoelectronics Progress

基　　金："十一五"国家科技支撑计划重大项目(2006BAJ05A13)资助课题

摘　　要：由于无人机体积小、重量轻,其在空中受到风力的影响较大,所拍摄的影像存在的畸变也比较大,因此,在影像匹配处理前进行畸变校正具有实际意义。利用Canny算子进行边缘提取,并依据Hough变换理论获得大量地物轮廓线;再利用以步长逼近获得像点真实坐标的反解算模型的方法来辅助校正并检测校正结果。同时,针对地物轮廓线之间存在平行、垂直等特点,提出了四边形连接法、平行线约束法等校正方法,并通过实验证明取得的结果令人满意。Due to the characteristics of small size and light weight of unmanned aerial vehicles （UAVs）, wind has great influence on UAV flight, and images photographed by UAV suffer large distortion. Therefore, it has practical significance to correct the distortions before image matching. We focus on extracting the edge contour based on Canny operator and obtain the large number of surface features contour using Hough transform theory. Then step approximation is used to obtain inverse solution model of the real image pixel coordinates, which is used to correct the results. Meanwhile, on the foundation of parallel and perpendicular terrain contour lines, the correction methods of quadrilateral connection and parallel lines constraint are proposed. It is found through experiments that the achieved results are satisfactory.

关 键 词：成像系统 无人机影像 校正 轮廓线 反解算 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]