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Sensor orientation of HaiYang-1C ultraviolet imager based on a piecewise rational function model

机译:基于分段Rational函数模型的海洋1C紫外成像仪传感器方向

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Due to the large field angle and large geometric distortions of the HaiYang-1C ultraviolet imager (UVI), a single rational function model (SRFM) is unable to fully absorb the geometric distortions. The SRFM-based sensor orientation accuracy of the UVI images is thereby worse than expected. In order to improve the sensor orientation accuracy, a feasible sensor orientation method for the UVI images based on a piecewise rational function model (PRFM) is proposed. A complete UVI image is first logistically divided into five subimages, and the adjacent subimages have an overlap. Then, an SRFM is used to mathematically fit the physical sensor model of each subimage. Finally, the five SRFMs form a continuous PRFM, and the PRFM-based sensor orientation of the UVI images is performed. Three HaiYang-1C UVI images were tested. The experimental results showed that the unabsorbed geometric distortions fully propagated into the SRFM-based sensor orientation results. The orientation accuracy of the three images reached similar to 7 pixels. In the PRFM-based sensor orientation, both the PRFM fitting errors and the inconsistent errors between the adjacent subimages could be negligible. The PRFM-based orientation accuracy was thereby noticeably improved and reached >1 pixel. (C) 2020 Society of Photo-Optical Instrumentation Engineers (SPIE)
机译:由于大型场角和海洋1C紫外成像器(UVI)的大几何畸变,单个Rational函数模型(SRFM)无法完全吸收几何失真。因此,UVI图像的基于SRFM的传感器方向精度比预期更差。为了提高传感器方向精度,提出了一种基于分段合理函数模型(PRFM)的UVI图像的可行传感器方向方法。完整的UVI图像首先将逻辑上分为五个子程,并且相邻的子像见子具有重叠。然后,SRFM用于在数学上适合每个子图的物理传感器模型。最后,五个SRFMS形成连续的PRFM,并且执行UVI图像的基于PRFM的传感器方向。三个海洋1C UVI图像进行了测试。实验结果表明,未吸收的几何扭曲完全传播到基于SRFM的传感器方向结果。三个图像的方向精度达到与7像素相似。在基于PRFM的传感器方向中,PRFM拟合误差和相邻的子图像之间的不一致错误都可以忽略不计。由此明显改善和达到了基于PRFM的取向精度> 1像素。 (c)2020光学仪表工程师协会(SPIE)

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