CAJ | 학술논문

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 pixel×512 pixel时，图像校正的均方根误差为1．1747 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.
위증대궤재광전정찰계통적시장각，항공상궤다채용소묘방식대지섭영성상，문장침대면진 CCD항공상궤사시섭영인기적도상변형진행교정.유우해류상궤여재궤지간존재방위화부앙량축운동，문장동시고필상궤상대재궤적선전각도화재궤상대지면적자태각，건립료경부합해류상궤공작상태적륙자태각투영교정모형，추도출동일지물재기변도상화표준도상상적상소좌표변환관계，채용쌍선성삽치산법대좌표변환후적상소회도치진행중채양，대항공도상진행자동교정.최후，대모궤장적항박도상진행교정실험，병여기우지면공제점적다항식교정방법이급기우기변도상화삼고도상배준적교정방법진행비교.실험결과표명，륙자태각투영교정모형능구취득비교고적교정정도(가체상소급)，당자태각적측량정도위3′，도상대소위512 pixel×512 pixel시，도상교정적균방근오차위1．1747 pixel.해방법불수요제공삼고도상화야외채집지면공제점수거，편우공정실현，기본만족항공도상처리적은정가고、정도고、실시성강등요구.
To increase the airborne photoelectric reconnaissance devices’field of view,most aerial cam-eras 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 proj ective rectifica-tion model of these array CCD aerial cameras was established.Then,the relationship of pixel coordi-nates between distortion image and standard image was obtained.Through coordinate transformation and luminance bilinear interpolation,the aerial remote sensing image with distortion was auto-accu-rately rectificated.Finally,the aerial image of an airport was corrected using the six attitude angles proj ective 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 proj ective rectification model can achieve pixel level correction preci-sion.For 512 pixel×512 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.