Abstract

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.

Highlights

  • Academic Editor: Pedro Melo-PintoThe sensor orientation accuracy is a very important indicator to measure the geometric quality of optical remote sensing satellite images (ORSSIs)

  • The external geometric quality of ORSSIs often refers to an external orientation (EO) accuracy, and the internal geometric quality often refers to an internal orientation (IO) accuracy

  • It is noted that this study only focuses on ORSSIs collected by multiple collinear linear-array charge-coupled device (CCD)

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Summary

Introduction

The sensor orientation accuracy is a very important indicator to measure the geometric quality of optical remote sensing satellite images (ORSSIs). With the exception of satellite attitude jitters, the internal geometric quality degradation of ORSSIs caused by camera distortions, multiple CCD misalignments, and focal length errors is caused by inaccurate camera parameters. The currently used camera parameters will be unable to describe the changed camera status, and these inaccurate camera parameters will reduce the internal geometric quality of ORSSIs. At present, the in-orbit geometric calibration of optical satellite cameras is often performed by ORSSI vendors. The internal biases of ORSSIs, caused by inaccurate camera parameters, can effectively be eliminated, and the internal geometric quality can, be improved.

Sensor Orientation Model
External Orientation Model
Internal Orientation Model
Image Reorientation
Experimental Datasets
Internal Geometric Quality Analysis
Residual
Performance Analysis of Estimated Internal Orientation Parameters
Experiments with Other Optical Satellite Images
June 2018
Discussions
Conclusions
Full Text
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