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Rock-ring detection accuracy improvement in infrared satellite image with sub-pixel edge detection

机译:利用亚像素边缘检测提高红外卫星图像的岩环检测精度

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摘要

The projection of space circle can be used for relative pose measurement of satellite targets. The accuracy of elliptical parameters plays an important role in the accuracy of pose recovery. However, the quality of space visible and infrared image is poor. The traditional ellipse detection method is mainly based on the edge of pixel-accuracy-wise and the ellipse accuracy is low, resulting in pose measurement errors. In this study, a sub-pixel-accuracy-wise edge-based ellipse fitting method is proposed to improve the ellipse accuracy. To realise this goal, we improved the arc-based ellipse detection method and designed sub-pixel-edge-based ellipse detection method. Experimental results show that the ellipse accuracy fitted by sub-pixel edge coordinates is at least 50% higher than that by pixel edge coordinates, especially when the ellipse is incomplete. The author's method is the first one to propose and verify the sub-pixel edge coordinate which contributes to enhancing ellipse accuracy.
机译:空间圆的投影可用于卫星目标的相对姿态测量。椭圆参数的准确性在姿势恢复的准确性中起着重要作用。但是,可见空间和红外图像的质量很差。传统的椭圆检测方法主要基于像素精度的边缘,椭圆精度较低,导致姿态测量误差。在这项研究中,提出了一种基于亚像素精度的基于边缘的椭圆拟合方法,以提高椭圆精度。为了实现这一目标,我们改进了基于弧的椭圆检测方法,并设计了基于亚像素边缘的椭圆检测方法。实验结果表明,子像素边缘坐标拟合的椭圆精度比像素边缘坐标拟合的椭圆精度至少高50%,尤其是当椭圆不完整时。作者的方法是第一个提出和验证亚像素边缘坐标的方法,这有助于提高椭圆精度。

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