基于子波相关算法的红外图像点目标检测

摘要

红外图像中点目标的检测技术是近年来信息处理研究的热点和难点之一.目标在图像中的表现为点状,且信噪比低,目标被噪声(杂波)淹没.现结合前人的一些检测算法,按照背景信号和噪声在相邻的子带间所表现出的不同相关性这一特点来进行背景信号、噪声的分析,提出了基于子波相关算法的点目标的检测方法,并对其进行了仿真和软件编程.结果表明这种算法具有很好的检测能力.%The technology of point targets detection in infrared image sequence is a difficult subject of information processing in recent years. Because the SNR of the image is very low, a target such as a point source is overflowed by noise. According to different correlation of background signal and noise between neighboring scales and combined with many detection algorithms given by the former, the approach of point targets detection based on wavelet correlation algorithm has been suggested and investigated, And computer software simulation and analysis of them are given. The experiment results show that it achieves a high availability and reliability of point targets detection.