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Block Adjustment of Chang'E-1 Images Based on Rational Function Model

机译:基于有理函数模型的Chang娥一号图像块调整

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Chang'E-1 (CE-1) is the first lunar orbiter of China's lunar exploration program. The CCD camera carried by CE-1 has acquired stereo images covering the entire lunar surface. Block adjustment and 3D mapping using CE-1 images are of great importance for morphological and other scientific research of the Moon. Traditional block adjustment based on rigorous sensor model is complicated due to a large number of parameters and possible correlations among them. To tackle this problem, this paper presents a block adjustment method using Rational Function Model (RFM). The RFM parameters are generated based on rigorous sensor model using virtual grid of control points. Afterwards, the RFM based block adjustment solves the refinement parameters through a least squares solution. Experimental results using CE-1 images located in Sinus Irdium show that the RFM can fit the rigorous sensor model with a high precision of 1% pixel level. Through the RFM-based block adjustment, the back-projection residuals in image space can be reduced from around 1.5 pixels to sub-pixel., indicating that RFM can replace rigorous sensor model for geometric processing of lunar images.
机译:E娥一号(CE-1)是中国探月计划的首个绕月轨道器。 CE-1携带的CCD摄像机已获取覆盖整个月球表面的立体图像。使用CE-1图像进行块调整和3D映射对于月球的形态学和其他科学研究非常重要。传统的基于严格传感器模型的块调整由于参数众多以及它们之间可能存在的相关性而变得复杂。为了解决这个问题,本文提出了一种使用有理函数模型(RFM)的块调整方法。 RFM参数是使用控制点的虚拟网格基于严格的传感器模型生成的。然后,基于RFM的块调整通过最小二乘解求解精化参数。使用位于鼻窦的CE-1图像进行的实验结果表明,RFM可以以1%像素水平的高精度拟合严格的传感器模型。通过基于RFM的块调整,图像空间中的反投影残差可以从约1.5像素减少到子像素。这表明RFM可以代替严格的传感器模型来对月球图像进行几何处理。

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