通过分析深空背景图像的特点, 提出一种基于拓扑不变性的深空背景暗弱目标检测方法。首先, 使用基于拓扑不变性的图像匹配方法以首帧图像为基准对序列图像进行匹配; 然后, 进行背景滤除;最后,利用基于Hough变换的方法对图像进行暗弱目标检测,从而获取目标信息。为验证提出算法的有效性, 使用STK软件制作若干幅半仿真序列图像进行实验。结果表明:提出的算法对空间碎片的检测能力超过了SMP和SBV两种算法; 算法的计算效率与SMP算法相当, 比SBV算法高。

Based on the characteristic analysis of images under deep space background, a new method for dim target detection under deep space background was proposed based on topological invariance.Firstly, the image matching method based on topology invariance was adopted to match the sequential images with the first-frame image as baseline.Then, the background of the sequential images was removed.Finally, the method of Hough transform was used to detect the dim target in the image, so as to obtain target information.In order to verify the effectiveness of the proposed method, a series of semi-simulating sequential images were made by using the STK software, and an experiment was carried out.The results showed that:1) The detection ability of the proposed algorithm exceeds that of SMP and SBV;and 2) The computational efficiency of the proposed algorithm is equal to that of the SMP algorithm, and is higher than that of the SBV algorithm.