Detecting small targets based on SVD for background suppression and particle filter
基于SVD背景抑制和粒子滤波的弱小目标检测*

In order to improve the detection ability for infrared small targets under cloudy sky background, the authors proposed a novel detection algorithm based on singular value decomposition (SVD) filter and particle filter. In this algorithm, firstly, a SVD filter was utilized to suppress the background and obtain several candidate targets. Secondly, particle filter was utilized to track the target and get the target search window. Finally, the target was detected by combining the candidate targets with the search window. Several experiments show that the proposed algorithm can detect the small target effectively when the background is complex or noisy.