In order to improve the detection ability of dim and small targets in dynamic scenes, this paper first proposes an anisotropic gradient background modeling method combined with spatial and temporal information and then uses the multidirectional gradient maximum of neighborhood blocks to segment the difference maps. On the basis of previous background modeling and segmentation extraction candidate targets, a dim small target detection algorithm for local energy aggregation degree of sequence images is proposed. Experiments show that compared with the traditional algorithm, this method can eliminate the interference of noise to the target and improve the detection ability of the system effectively.

中文翻译：

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基于序列图像局部能量聚集度的弱小目标检测

为了提高动态场景中弱小目标的检测能力，本文提出一种结合时空信息的各向异性梯度背景建模方法，然后利用邻域块的多方向梯度最大值对差分图进行分割。在先前背景建模和分割提取候选目标的基础上，提出了一种用于序列图像局部能量聚集度的模糊小目标检测算法。实验表明，与传统算法相比，该方法可以消除噪声对目标的干扰，有效地提高了系统的检测能力。