针对凝视红外成像探测系统作用距离计算问题，在分析传统作用距离模型的基础上，提出基于图像目标信噪比检测依据的新距离计算模型。
For the operating range calculation of staring IR imaging system, traditional operating range model was analyzed and a new model was proposed based on the target image's SNR detection criterion.
复杂背景下的运动目标检测、识别和跟踪对红外成像制导系统具有重要意义。
Detecting, recognizing and tracking moving targets in cluttered background is important to IR imaging guidance systems.
本文主要对图像拼接技术和基于背景建模的目标检测算法在红外预警系统中的应用进行了研究。
This paper mainly deals with the techniques of image mosaics and algorithms of targets detection based on background modeling for infrared early-warning system.
目标检测作为红外成像系统中前端的处理环节，是精确制导中一个重要的组成部分，也是其中的一个关键技术和难点问题。
As the front processing unit in an infrared imaging system, target detection is one of the important parts in precision-guidance and is also a critical technique or difficult problem.
引言多处理器系统作为红外成像探测系统的重要组成部分，主要完成红外图像处理和目标检测。
The multiprocessing system is one of the most important parts of infrared imaging and detecting systems.
模拟实验表明，该算法特别适用于低帧率的红外警戒系统，可检测信杂比为2的点目标。
Simulating experimental results shown the algorithm is especially suited for surveillance system of low frame rate and can detect the point targets with signal to clutter ratio equal to 2.
该算法特别适用于低帧率的红外警戒系统，可检测信杂比为1的点目标。
The algorithm is suited especial for surveillance system of low frame rate and can detect the point targets with signal to clutter ratio equal to 1.
红外序列图像运动小目标检测技术，是红外搜索与跟踪系统的一项核心技术，也是现代研究领域的一大难题。
The detection of small moving targets in infrared image sequences is one of the critical technologies of infrared Search and Tracking System (IRST).
系统分析了红外图像中运动小目标的特性，介绍了几种成熟的运动小目标的检测方法。
Some features of dynamic small target in infrared image are analyzed, and some ripe detecting methods of dynamic small target are introduced.
当红外预警系统对低空飞行的运动目标进行检测时，由于云杂波的存在，系统的检测性能会受到严重影响。
When infrared warning system detect moving objects in low altitude, detection performance will decrease significantly due to the cloud appeared in the image.
介绍了ADI公司的实时操作系统内核vdk的特点，及其应用在红外目标检测跟踪系统中的优点。
Introduce the trait of ADI's VDK real-time operating core, and its advantage of application in the Infra-target detection and tracking system.
研制了一种基于双DSP（TMS320C6414）的大视场红外目标实时检测与跟踪图像处理系统。
A real- time image processing system which is based on two pieces of DSP (TMS320C6414) is designed.
提出了一种在弱目标检测系统中，线列或面阵红外焦平面的非均匀校正算法-基于可变积分时间和均衡噪声的两点现场校正算法。
A new method, named two point IRFPA nonuniformity correction method based on integration adjustment and noise equilibrium , to correct IRFPA nonuniformity in dim target detection system was presented.
本文系统的研究了红外图像中微弱点状运动目标的检测及跟踪技术，介绍了国内外的研究动态和取得的成果。
The paper mainly researches the weak point moving target detection and tracking technology in the infrared image, introduced the domestic and foreign research dynamic and obtain achievement.
红外弱小目标检测技术是红外搜索与跟踪、红外预警、红外制导等防御和武器系统中的核心技术之一。
Dim and small moving targets detection of IR sequence images is a key technique for the IR detection and tracking, alarming, guiding system.
在红外制导系统中，目标检测技术能够提供目标的形状和位置信息，成为必不可少的关键技术之一。
Target detection technology is one of the key issues in the infrared guidance system, because it can offer the location and shape information of target.
弱小目标的检测与跟踪是红外预警系统、精确制导系统、卫星遥感系统中的一项关键技术。
Dim small target detection and tracking is the key technology of the infrared surveillance system, precise guidance system, and satellite remote sensing system.
为了避免此类事故，根据红外检测原理研制了被动式红外探测报警系统，以此对矿车里的人体目标进行检测，并作出声、光报警。
In order to avoid such accident, a warning system using passive infrared target detection was developed. It can search body targets in the mine cars and give sound and light warning as well.
针对红外搜索跟踪系统对复杂云层背景条件下红外弱小目标检测问题，提出了一种低虚警率的弱小目标稳健检测算法。
For the infrared dim small target detection in complex cloud background of IRST, a robust algorithm of low false alarm is proposed.
算法易于硬件实现，能够有效地应用于红外搜索与跟踪系统的实时目标检测中。
The algorithm is easily implemented in hardware and can be applied effectively in the real-time target detection in the IRST systems.
算法易于硬件实现，能够有效地应用于红外搜索与跟踪系统的实时目标检测中。
The algorithm is easily implemented in hardware and can be applied effectively in the real-time target detection in the IRST systems.
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