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An Improved Two-Dimensional Gaussian Fitting Method for Space Target Positioning

机译:一种改进的二维高斯拟合目标定位方法

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With the heavily increasing of the number of space debris, research of positioning for space target image gradually becomes a hot topic. Generally, results of sub-pixel positioning will directly affect the orbit positioning accuracy of space targets. Centroid method, median method, one-dimensional and two-dimensional Gaussian fitting are commonly used positioning methods. Positioning performance for those methods is compared using the actual observed image. For solving the problem that positioning accuracy is reducing on distorted image, an improved two-dimensional Gaussian fitting method is proposed. Good results have achieved using the actual observed image.
机译:随着空间碎片数量的大量增加,空间目标图像的定位研究逐渐成为一个热门话题。通常,亚像素定位的结果将直接影响空间目标的轨道定位精度。质心法,中值法,一维和二维高斯拟合是常用的定位方法。使用实际观察到的图像比较这些方法的定位性能。为解决畸变图像定位精度降低的问题,提出了一种改进的二维高斯拟合方法。使用实际观察到的图像可获得良好的结果。

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