首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Detection algorithm of targets for infrared search system based on area infrared focal plane array under complicated background
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Detection algorithm of targets for infrared search system based on area infrared focal plane array under complicated background

机译:复杂背景下基于区域红外焦平面阵列的红外搜索系统目标检测算法

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摘要

Infrared Search and Track (IRST) system is a wide field of view surveillance system, meant for autonomous search, detection, acquisition, and cue of potential targets. The first and second generation IRSTs utilized detectors with multiple elements followed by discrete preamplifiers for signal read-out. They have many performance limitations. With the advent of infrared focal plane array (IRFPA) sensors, the present trend is to build IRSTs based on line FPA sensors to achieve higher sensitivity and resolution. This article describes a new IRST system, different from other systems with area infrared focal plane array (IRFPA), using area infrared focal plane array (AFPA). This system has the simple and reliable structure. First this paper described the surveillance system based on AFPA. And the Point Scattering Function (PSF) of degradation model images blurred by AFPAs' rotations and the imaging feature of the targets is presented. And the target detection algorithm is described and analyzed, the maximum filter and center filter is advanced. Finally the experiment results have proved that the IRST system using AFPA has high detection ratio and low false alarm ratio.
机译:红外搜索和跟踪(IRST)系统是一个广泛的视野监视系统,用于自动搜索,检测,获取和提示潜在目标。第一代和第二代IRST使用带有多个元件的检测器,然后是用于信号读出的分立前置放大器。它们具有许多性能限制。随着红外焦平面阵列(IRFPA)传感器的出现,当前的趋势是基于线路FPA传感器构建IRST,以实现更高的灵敏度和分辨率。本文介绍了一种新的IRST系统,该系统不同于使用区域红外焦平面阵列(AFPA)的其他具有区域红外焦平面阵列(IRFPA)的系统。该系统结构简单可靠。本文首先介绍了基于AFPA的监控系统。给出了AFPA旋转和目标成像特征模糊的退化模型图像的点散射函数(PSF)。描述并分析了目标检测算法,提出了最大滤波器和中心滤波器。实验结果表明,采用AFPA的IRST系统具有较高的检测率和较低的虚警率。

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