Distortion correction for small-field space image based on star map matching
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摘要: 小视场星载相机受发射振动和空间环境等影响,会使所拍摄的空间图像产生畸变,并且畸变模型和参数也时有变化.针对小视场空间图像所含恒星点相当稀少的特点,提出一种基于Hausdorff距离多帧星图匹配的空间图像畸变校正方法,利用恒星点作为控制点实现畸变参数的计算.针对卫星姿态漂移所造成的相机光轴指向系统误差对校正的影响,给出一种自适应补偿方法.仿真实验结果表明,该方法计算量小、精度高,能够有效抑制图像噪声和输入误差的影响.Abstract: Due to the impacts from launching vibrations and complex space environment, it is inevitable to generate some distortions in images by the small-field space imaging, moreover, the distortion model and parameters may also change sometimes. In fact, there would be a few or a sparse stars in a single small-field space image, thus a kind of distortion correction method for space image was presented based on multi-frame star maps matching with Hausdorff distance. The distortion parameters were calculated by considering the stars as control points. Furthermore, the self-adaptation compensation method was given to remove the error from camera optical axis pointing system because of satellite attitude drift. Simulation experiment results show that the proposed correction method is characterized with small calculation quantity and high precision, so as to decrease the influence of image noise and input error efficiently.
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Key words:
- image processing /
- optical distortion /
- aerial photography /
- star map matching
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