无人机影像自检校光束法区域网平差精度分析  

Precision Analysis of Self-calibration Bundle Block Adjustment for UAV Images

作　　者：郭忠磊[1] 赵志勇 滕惠忠[1] 申家双[1] 张靓[1] 

机构地区：[1]海军海洋测绘研究所,天津300061 [2]北海舰队参谋部,山东青岛266071

出　　处：《海洋测绘》2016年第2期75-78,共4页Hydrographic Surveying and Charting

摘　　要：无人机遥感系统一般搭载非量测型数码相机,该类型相机的内参数未知或部分未知,获取的影像存在畸变。设备运输、航摄飞行等动态环境因素对相机内参数的稳定性产生影响,导致区域网平差的精度降低,甚至平差失败。对无人机影像的系统误差源进行分析,给出了畸变差改正模型,自检校光束法平差模型及平差精度估计公式。试验证明:自检校光束法区域网平差可以减弱数码相机内参数变化对平差精度的影响,提高地面控制点、影像外方位线元素的定位精度。The image sensor on board the unmanned aerial vehicle remote sensing is a no-metric camera and this kind of camera＇s interior parameters are unknown or known partly.The image which is acquired by UAV has the distortion error.The dynamic environmental factors of equipment transportation,aerial photography flying,etc.affect the stability of the camera interior parameters,and that results in a low accuracy or block adjust failure in the block adjustment.The paper analyses the sources of the UAV image＇s system error,and gives the distortion correct formula,self-calibration bundle block adjustment and precision estimation formula. The experimental results show that self-calibration bundle block adjustment can reduce the influence of the camera interior parameter change on the adjustment precision to improve the precision of ground control points and image external parameters.

关 键 词：无人机 影像畸变 光束法区域网平差 自检校 精度 

分 类 号：P237[天文地球—摄影测量与遥感]