Dim and small moving targets detection of IR sequence images is a key technique for the IR detection and tracking, alarming, guiding system.
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。
Simulations of real IR image sequence with low SNR prove the algorithm can effectively detect dim moving target, and has high detection probability and excellent real time performance.
仿真实验结果表明，该算法具有较高的检测率和良好的实时特性，能有效地检测出低信比红外图像序列中的弱小运动目标。
The difference between UWB and the traditional direct sequence spread spectrum technology was analyzed, and the simulation models of TH-IR and DS-IR systems were installed.
首先分析了超宽带技术与传统的直接序列扩频技术的区别，然后建立了TH -IR和DS - IR超宽带系统的仿真模型，得到两种IR系统在多种干扰条件下的误码率性能。
This article gives a brief introduces of FID, IR, CPMG and se, which are several basic sequence in NMR and MRI, and they can be used in food.
主要介绍了核磁共振及其成像技术中的FID,IR, C PMG和SE等几个基本序列，以及它们在食品中的主要应用。
This paper proposes a new algorithm on dim target detecting, recognition and tracking from an image sequence produced by an IR sensor.
本文研究红外探测仪器产生的低信噪比序列图像中目标检测、识别及跟踪算法。
The results show that this algorithm can detect small targets within IR image sequence with SNR higher than 2.0.
结果表明，算法能够从信噪比大于2.0的图像序列中检测出目标轨迹。
Experimental results show that this algorithm can detect small targets within the IR image sequence which SNR is bigger than 2.0.
实验结果表明，该算法能够从信噪比大于2．0的图像序列中检测出目标。
In terms of the low SNR and contrast, the small and dim targets can not be easily detected in a single IR image, so utilizing a sequence of images is an effective method.
红外图像中的弱小目标因为信噪比和对比度较低，用单帧图像检测很难得到满意的效果，利用多帧图像信息进行检测是有效的手段之一。
In terms of the low SNR and contrast, the small and dim targets can not be easily detected in a single IR image, so utilizing a sequence of images is an effective method.
红外图像中的弱小目标因为信噪比和对比度较低，用单帧图像检测很难得到满意的效果，利用多帧图像信息进行检测是有效的手段之一。
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