第25卷
第7期
2017年7月
文章编号
1004-924X(2017)07-1714-13
光学精密工程
Optics and Precision Engineering
Vol.25No.7
Jul.2017
大角度倾斜成像航空相机对地目标定位
乔川1.2*，丁亚林"，许永森"，修吉宏1，杜言鲁1,2
（1.中国科学院长春光学精密机械与物理研究所航空光学成像与测量重点实验室，吉林长春130033；
2.中国科学院大学，北京100049）
摘要：针对大角度倾斜成像航空相机拍摄距离远，激光测距设备作用距高有限的间题，提出了一种不依赖距离测量设备的直接对地目标定位算法。依据载机POS测量的载机位置、姿态信息以及航空相机中位置编码器测量的框架角位置信息，利用齐次坐标变换的方法求解目标在大地坐标系下的指向，再利用地球椭球模型和数字高程模型确定目标点的经纬度信息。采用蒙特卡洛法伤真分析载机位置姿态测量误差及相机框架角位置误差对视轴指向精度的影响，相比于仅采用地球椭球模型的目标定位算法，该算法有效降低了地形起伏对目标定位影响，在目标区域地形起伏标准差大于10m 时，大角度倾斜成像的定位精度明显提高。采用飞行试验数据验证了该目标定位算法的有效性，在飞行高度18000m 拍摄框架横滚角小于63°时，目标定位圆概率误差小于70m，可满足工程实际需要，
词：航空相机；目标定位；其次坐标变换；数字高程模型；误差分析
关
键
中图分类号：V443.5
文献标识码：A
doi;10.3788/OPE.20172507.1714
Ground target geo-location using imaging aerial camera
withlargeinclinedangles
QIAO Chuan'-2·, DING Ya-lin', XU Yong-sen', XIU Ji-hong", DU Yan-lu-2
(l.Key Laboratory of Airborne Optical Image and Measurement,Changchun Institute of Optics,
FineMechanics andPhysics,ChineseAcademy of Sciences,Changchun130033,China;
2.University of Chinese Academy of Sciences,Beijing100049,China)
*Correspondingauthor，E-mail:qc_chuan163.com
Abstract: Aiming at problems that operating range of laser ranging finder limits shooting distance of aerial camera with large inclined angles, a directly target geo-location algorithm independent of ranging equipment was proposed. Based on aircraft positions and attitude information measured by airborne Position and Orientation System (POS), as well as outer and inner gimbal angles from the encoder in the aerial camera, target to sensor vector in Earth-Centered Earth-Fixed (ECEF) coordinate was solved by homogeneous coordinate transformation. Then according to ellipsoidal earth model and global Digital Elevation Model (DEM), the longitude and latitude of the target were determined. The Monte Carlo method was employed for simulated analysis on influences of measurement errors of aircraft position and altitude as well as encoder on pointing accuracy of Line of Sight (LOS). Compared with the geo-location algorithm which only based on ellipsoidal earth model,
收稿日期：2016-12-21；修订日期：2017-01-31.
基金项目：国家自然科学基金资助项目（No.61405192)；吉林省科技发展计划资助项目（No.20140520114JH）