基于小波分析的一种红外弱小目标检测新方法

A New Method of Infrared Small Weak Targets Detection Based on Wavelet Analysis

研究了天空背景下红外运动弱小目标的检测问题。对红外序列图像进行小波分析 ,使用小波反变换可以将背景中低频分量和高斯噪声去除 ,并采用自适应门限处理 ,再采用非线性滤波 ,最后使用膨胀累积的方法找出目标 ,并得出目标航迹。实验结果表明 ,该方法能有效地检测定位运动红外弱小目标 。

This paper studies moving infrared small targets in the sky. The wavelet analysis is presented to remove the background from the image. The adaptive threshold is adopted to improve the performance of the operation. The nonlinear filter is used to cut down the number of the detected numbers. At last, according to the results of dilale accumalation, the targets in the sequence of images are recognized and the moving trajectory of the target is acquired. The experimental results indicate that this method can detect and locate a small moving target effectively and is robust to noise interference.