基于频域特征提取的红外小目标跟踪算法

针对红外小目标的目标特性,像素少,强度弱,特征提取困难的问题,本文分析了两种常用的特征提取算法,提出了一种在频域范围内进行红外小目标特征提取的改进粒子滤波算法。分析了在背景中加入目标点后频域的变化,指出了从频域进行目标提取的可行性。实际的仿真结果表明,使用频域的特征提取能够比较好地描述目标,区分目标和背景,具有很好的跟踪性能。

Small infrared target tracking algorithm based on frequency region feature

For infrared small target,the image usually contains little pixels.The intensity is dim and it′s hard to abstract object features.The article analyzes the two common feature abstracting algorithms,and proposes a new feature abstracting algorithm in frequency region based on particle filtering.The article analyzes the changes in the frequency domain after adding background noise to the target.It shows the feasibility of the feature abstracting in frequency region.The experiment results show that the frequency region feature abstracting can describe the target well and distinct the target from background well.It is more accurate and effective than the traditional particle filter method.