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An algorithm of small and dim target detection in deep space background

机译:深空背景下小而暗的目标检测算法

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In this article, a method of image registration based on Feature Space of Distance (FSD) between points is firstly introduced into dim and small target detection in deep space background. This algorithm uses the feature space to calculate the transform parameters and realizes the dim and small target detection through the suppression of the star background. The experimental results indicate that our method is effective and can be applied to automatic target recognition (ATR) system.
机译:本文首先将基于点间距离特征空间(FSD)的图像配准方法引入到深空背景下的昏暗和小目标检测中。该算法利用特征空间来计算变换参数,通过抑制恒星背景实现暗淡和小目标检测。实验结果表明,该方法是有效的,可应用于自动目标识别(ATR)系统。

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