红外弱小目标背景抑制中的二维空域廓线法

Two-Dimensional Spatial Profile Method for Infrared Dim Point Target Background Suppression

为了实现天基红外遥感图像中的弱小目标检测,抑制复杂的结构背景,提出了二维空域廓线法。算法以一维时域廓线目标检测理论为基础,将其扩展到二维空域,应用于单帧目标检测。采用二维空域廓线可以获得背景估计,用原始图像减去背景图像可获得包含目标的前景图像。将本文算法与现有的单帧目标检测算法相比,可获得更大的ROC曲线面积,表明提出算法优于同类算法。

To successfully detect dim point targets in space-based infrared remote sensing images while suppressing complex structural backgrounds,a two-dimensional spatial profile method is proposed.The algorithm extends the one-dimensional temporal profile target detection theory to two-dimensional space and applies it to single-frame target detection.The estimated background can be obtained from the two-dimensional spatial profile,after which the foreground image containing the target can be obtained by subtracting the background image from the original image.Compared with the existing single-frame target detection algorithms,the proposed algorithm can obtain a larger ROC curve area,which indicates that two-dimensional spatial profile algorithm outperforms the existing algorithms.