面阵CCD航空相机斜视图像的几何校正

周前飞; 刘晶红; 居波; 李刚

doi:10.3788/YJYXS20153003.0505

您当前的位置：

首页 >

文章列表页 >

面阵CCD航空相机斜视图像的几何校正

成像技术与图像处理 | 更新时间：2020-08-12

- 面阵CCD航空相机斜视图像的几何校正
- Geometric correction of oblique images for array CCD aerial cameras
- 液晶与显示 2015年30卷第3期页码：505-513
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2. 中国科学院大学, 北京 100049
- 作者简介：
- 基金信息：
  
  国家林业公益性行业科研专项(No.201204515)();吉林省重大科技攻关项目(No.11ZDGG001)()
- DOI：10.3788/YJYXS20153003.0505
  中图分类号： TP75
- 收稿日期：2014-06-26，
  
  修回日期：2014-07-31，
  
  纸质出版日期：2015-06-05
- 稿件说明：
移动端阅览
周前飞, 刘晶红, 居波, 李刚. 面阵CCD航空相机斜视图像的几何校正[J]. 液晶与显示, 2015,30(3): 505-513

ZHOU Qian-fei, LIU Jing-hong, JU Bo, LI Gang. Geometric correction of oblique images for array CCD aerial cameras[J]. , 2015,30(3): 505-513
周前飞, 刘晶红, 居波, 李刚. 面阵CCD航空相机斜视图像的几何校正[J]. 液晶与显示, 2015,30(3): 505-513 DOI： 10.3788/YJYXS20153003.0505.

ZHOU Qian-fei, LIU Jing-hong, JU Bo, LI Gang. Geometric correction of oblique images for array CCD aerial cameras[J]. , 2015,30(3): 505-513 DOI： 10.3788/YJYXS20153003.0505.

摘要

为增大机载光电侦察系统的视场角

航空相机多采用扫描方式对地摄影成像

文章针对面阵CCD航空相机斜视摄影引起的图像变形进行校正.由于该类相机与载机之间存在方位和俯仰两轴运动

文章同时考虑相机相对载机的旋转角度和载机相对地面的姿态角

建立了更符合该类相机工作状态的六姿态角投影校正模型

推导出同一地物在畸变图像和标准图像上的像素坐标变换关系

采用双线性插值算法对坐标变换后的像素灰度值进行重采样

对航空图像进行自动校正.最后

对某机场的航拍图像进行校正实验

并与基于地面控制点的多项式校正方法以及基于畸变图像和参考图像配准的校正方法进行比较.实验结果表明

六姿态角投影校正模型能够取得比较高的校正精度(可达像素级)

当姿态角的测量精度为3'

图像大小为512 pixel512 pixel时

图像校正的均方根误差为1.174 7 pixel.该方法不需要提供参考图像和野外采集地面控制点数据

便于工程实现

基本满足航空图像处理的稳定可靠、精度高、实时性强等要求.

Abstract

To increase the airborne photoelectric reconnaissance devices' field of view

most aerial cameras adopt the method of scanning to photograph the earth. For the purpose of image distortion caused by the oblique photography of array CCD aerial camera

a practical auto-rectification approach was proposed in the thesis.As there was a dual-axis rotation (specifically

the azimuth and pitch motion) between these array CCD aerial cameras and aircrafts

this paper introduced a new approach for image geometric correction that took into account both the rotational angles from cameras to aircrafts and the attitude angles of the aircrafts relative to the ground. First

the six attitude angles projective rectification model of these array CCD aerial cameras was established. Then

the relationship of pixel coordinates between distortion image and standard image was obtained. Through coordinate transformation and luminance bilinear interpolation

the aerial remote sensing image with distortion was auto-accurately rectificated. Finally

the aerial image of an airport was corrected using the six attitude angles projective rectification model

the ground control point based multinomial correction model and the correction method of matching the distortion image and reference image

respectively. Experiments show that the six attitude angles projective rectification model can achieve pixel level correction precision. For 512 pixel512 pixel images

the root mean square error of image correction can reach 1.174 7 pixel accuracy when the accuracy of attitude angles is 3 min.The proposed algorithm in the thesis doesn't need for reference images and ground control points

and facilitates engineering application. It can satisfy the system requirements of online

real time

higher precision and stabilization.

关键词

Keywords

references

兰海滨,王平,龙腾. 图像拼接中相机镜头非线性畸变的校正[J]. 光学精密工程,2009,17(5):1197-1201. Lan H B, Wang P, Long T. Nonlinear aberration correction of lens in image mosaic [J]. Optics and Precision Engineering,2009,17(5):1197-1201. (in Chinese)[2] 李静宇,王延杰. 基于子空间的目标跟踪算法研究[J]. 液晶与显示, 2014,29(4): 617-619. Li J Y,Wang Y J.Subspace based target tracking algorithm[J].Chinese Journal of Liquid Crystals and Displays,2014,29(4): 617-619. (in Chinese)[3] Wang J H, Yong G, Gerard B.M. Heuvelinkc,et al. Effect of the sampling design of ground control points on the geometric correction of remotely sensed imagery [J]. International Journal of Applied Earth Observation and Geoinformation, 2012, 18: 91-100.[4] John R J. Introductory Digital Image Processing: A Remote Sensing Perspective [M]. 3rd Ed.Columbia: University of South Carolina Press,2005.[5] 陈华,安娜,杨清华. 基于GPS实测控制点的SPOT 5 1A数据几何校正方法精度比较[J]. 国土资源遥感,2007,4:47-49. Chen H, An N, Yang Q H. Geometric correction methods of SPOT 5 1A data based on GPS-measured ground control points [J].Remote Sensing For Land &Resources,2007,4:47-49. (in Chinese)[6] 李玉霞,童玲,刘异,等. 缺少控制点的无人机遥感影像几何畸变校正算法[J]. 电子科技大学学报, 2013,42(3):395-398. Li Y X, Tong L, Liu Y,et al. Geometric correction algorithm for unmanned aerial vehicle remote sensing image without ground control points [J]. Journal of University of Electronic Science and Technology of China, 2013,42(3):395-398.(in Chinese)[7] Sbastien L,Sylvain B,Franois A. Automatic and precise orthorectification,coregistration, and subpixel correlation of satellite images, application to ground deformation measurements [J]. IEEE Transactions on Geoscience and Remote Sensing,2007,45(6):1529-1532.[8] Zhoug Q. Near real-time orthorectification and mosaic of small UAV video flow for time-critical event response [J]. IEEE Transactions on Geoscience and Remote Sensing,2009,47(3):739-746.[9] 胡春晖,颜昌翔,邵建兵. 指向镜低频正弦振动下遥感器图像的畸变及校正[J]. 光学学报,2013,33(4):0428002. Hu C H,Yan CH X,Shao J B. Pointing mirror low frequency sine oscillation induced remote sensor image distortion and correction [J]. Acta Optica Sinica,2013,33(4):0428002. (in Chinese)[10] 程红,王志强,张耀宇. 航空影像几何校正方法的研究[J]. 东北师大学报: 自然科学版,2009,41(3):50-54. Chen H,Wang Z Q,Zhang Y Y. Research on geometric rectification of aerial images [J]. Journal of Northeast Normal University :Natural Science Edition,2009,41(3):50-54. (in Chinese)[11] 徐芳,刘晶红,王宣. 基于标定的CCD图像畸变校正方法研究[J]. 液晶与显示, 2013,28(4):634-640. Xu F,Liu J H,Wang X. Distortion correction method for CCD image based on calibration [J].Chinese Journal of Liquid Crystals and Displays,2013,28(4):634-640. (in Chinese)[12] 王富治,黄大贵. 基于图像差分的精密畸变校正研究[J]. 仪器仪表学报,2010,31(2):378-381. Wang F Z, Huang D G. Accurate distortion correction study based on differential images[J]. Chinese Journal of Scientific Instrument,2010,31(2):378-381. (in Chinese)[13] 王家骐,金光,颜昌翔. 机载光电跟踪测量设备的目标定位误差分析[J]. 光学精密工程, 2005,13(2): 106-116. Wang J Q, Jin G, Yan C X. Orientation error analysis of airborne opto-electric tracking and measuring device [J]. Optics and Precision Engineering, 2005,13(2): 106-116. (in Chinese)

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据