红外背景中点与近点源目标探测的卷积减法滤波算法

A CONVOLUTION SUBTRACTION FILTER FOR POINT AND QUASI-POINT SOURCE TARGETDETECTION AGAINST IR BACKGROUND

远距离下点与近点源红外目标的有效探测与捕获，很大程度上依赖于对背景杂波的抑制，诸多滤波技术已经提出。本文在简述了主要滤波技术的特点后，提出一种新的卷积减法滤波算法（ＣｏｎｖｏｌｕｔｉｏｎＳｕｂｔｒａｃｔｉｏｎＦｉｌｔｅｒｉｎｇ），数理模型分析与计算机模拟的结果说明：这是一种易于硬件实现，能有效抑制背景杂波的线性技术。

The effective detection and acquisition of the point and quasi-pointsource IR-targets at long range are dependent greatly on the rejection of back-ground clutter.Many filtering techniques have been developed After brief re-viewing the main filtering characteristics,a new convolution subtraction filtering technique(CSF) is suggested. As result of analysis and simulation of CSF's mathematic and physical model, it has been shown that CSF is a linear techniqueto reject the background clutter effectively and can be realized easily with hard ware.