Internal Geometric Quality Improvement of Optical Remote Sensing Satellite Images with Image Reorientation

Remote Sensing

Nan Zhou¹  Haixing Shang²  Jinshan Cao³  Zhiwei Ye³  Zhiqi Zhang³ 

[1] Beijing Institute of Space Mechanics & Electricity, Beijing 100076, China;Northwest Engineering Corporation Limited, Power China Group, Xi’an 710064, China;School of Computer Science, Hubei University of Technology, Wuhan 430068, China;

关键词: geometric quality;    internal orientation;    sensor orientation;    optical satellite images;    image reorientation;   

DOI  :  10.3390/rs14030471

来源: DOAJ

【 摘 要 】

When the in-orbit geometric calibration of optical satellite cameras is not performed in a precise or timely manner, optical remote sensing satellite images (ORSSIs) are produced with inaccurate camera parameters. The internal orientation (IO) biases of ORSSIs caused by inaccurate camera parameters show a discontinuous distorted characteristic and cannot be compensated by a simple orientation model. The internal geometric quality of ORSSIs will, therefore, be worse than expected. In this study, from the ORSSI users’ perspective, a feasible internal geometric quality improvement method is presented for ORSSIs with image reorientation. In the presented method, a sensor orientation model, an external orientation (EO) model, and an IO model are successively established. Then, the EO and IO model parameters are estimated with ground control points. Finally, the original image is reoriented with the estimated IO model parameters. Ten HaiYang-1C coastal zone imager (CZI) images, a ZiYuan-3 02 nadir image, a GaoFen-1B panchromatic image, and a GaoFen-1D panchromatic image, were tested. The experimental results showed that the IO biases of ORSSIs caused by inaccurate camera parameters could be effectively eliminated with the presented method. The IO accuracies of all the tested images were improved to better than 1.0 pixel.

【 授权许可】

Unknown