研究了复杂背景下红外点目标检测的预处理方法。
This paper focuses on the pretreatment for detecting infrared point targets under com plex background.
背景抑制是红外运动点目标检测的核心技术之一。
Background suppression is a key technology of motive infrared point target detection.
图像中低信噪比点目标检测与跟踪，从理论上讲是一个难题。
To a point target there is no extent information can be used.
运动点目标检测技术，是信号和图像处理领域的热点研究课题。
The moving point target detection technology has been a hot issue in the area of signal and image processing.
要把淹没在噪声背景中的运动点目标检测出来是一个十分困难的问题。
To detect a moving point target that is submerged in noisy background is a very difficult problem.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
This paper discusses a technique for detecting slowly moving point targets in low SNR images.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
In this paper, we discussed an algorithm for decision trajectory during detecting slowly moving point target in low SNR.
红外图像点目标检测一般可分为三个阶段，依次为图像预处理、目标分割和目标检测。
In general, point target detection of Infrared image can be divided into three phases, followed by image preprocessing, target segmentation and target detection.
因此，远距离成像的点目标检测问题是近年来小目标红外图像检测与处理研究的热点和难点。
Therefore, point target detection of remote imaging is hot and difficult in infrared image detection and processing in recent years.
针对复杂背景下运动点目标检测方法存在的局限性，提出从时间空间角度检测运动目标的方法。
In view of the limitation existing in detecting moving point targets in complex background, a new detection method with detailed theory based on spatiotemporal image is presented.
在对点目标检测识别算法仿真实验分析的基础上，开发了实时运动点目标检测处理的软件系统。
According to the experimenting and analyzing of the detecting algorithm of the point targets, a real-time detecting software of the moving point targets is developed.
针对复杂背景下弱点目标的检测问题，提出一种基于形态学处理和帧间差分相结合的红外点目标检测算法。
Firstly, moving pixels was extracted by using difference image algorithm, then motion object and moving background were distinguished by the change frequency of pixel state.
由于所有性能优良的运动点目标检测算法的运算量和存贮量都很大，为了减少计算量，通常采用两步法宋检测。
All the excellent detection algorithms of the moving point target have huge calculating quantity and need large storage, so the two steps detection method is used to reduce the calculating quantity.
本文讨论了能量受限下，以最大检测指数为最优化准则，在混响环境中缓慢起伏点目标检测的最佳信号设计问题。
This paper is concerned with the optimum waveforms foe detection in reverberation environment, under a maximum detection factor criterion with an energy constraint.
由于目标处于海天线附近的高强度背景杂波中，因此，采用常规的点目标检测算法对其进行检测的结果都不够理想。
The targets are in the background clutter which intensity is heavy. So the performance of the general algorithms is not very good.
对典型复杂背景下10幅1000帧图像的仿真结果表明，当信噪比大于或等于1.5时，可以有效检测出运动点目标。
Finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with SNR not lower than 1.5 can be detected effectively.
如果你的图片噪点少且定标准确，你可以将此值设置为3.0或更低用于检测更暗的目标。
You can set the value as low as 3.0 if you want to detect very faint objects if you use clean, well calibrated images.
点目标的检测、识别与跟踪是提高制导武器系统性能的关键技术之一。
The detection, recognition and tracking of point targets are the key technology to enhance the ability of guidance system.
讨论了红外图像点目标的检测问题。
低信噪比条件下点目标的检测性能在很大程度上依赖于对红外背景杂波的抑制情况。
The effective detection for point target in low SNR IR images is dependent greatly on the suppression of background clutter.
序列图像中低信噪比运动点目标的检测算法及其性能分析。
The detection algorithm for the low SNR point target in image sequences and its performance is studied.
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.
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.
该算法也可检测交叉运动的多个运动点目标。
Meanwhile, it can be used to detect multiple point targets which move cross each other, too.
文中采用圆形目标及编码元素作为标记点，并提出一种标记点自动检测算法。
In this paper circular uncoded targets and coded targets are used as reference points, and an algorithm of automatic reference point detection is proposed.
低信噪（杂）比条件下运动点目标的检测、跟踪和识别技术是扩展制导武器系统作用距离，加强系统防御能力的关键技术之一。
Low observable small target detection, recognition and tracking algorithms are key technologies to extend the acceptance distance of guidance system and enhance the capacity of defense system.
由于以上方法无法检测点、线目标，本文提出了一种新的参数估计方法。
For the lack of point target and line detection in the above mentioned methods, a new parameter estimation method is then introduced.
在复杂红外背景中如果红外点目标所占的像素少，通常的检测方法就很难将目标检测出来，且往往会含有较多假目标。
It is hard to detect a small target in a complex background using a conventional algorithm, especially when IR target has few pixels, many fake targets will be detected.
针对复杂天空背景下弱点目标的检测与跟踪，提出了一种利用多窗口、小尺度、多次差影融合点目标图像的快速检测与跟踪方法。
In order to detect and track dim-point targets under the complex background of sky, a high speed method is put, which uses multiwindow, little yardstick, repetitious subtracting and fusing images.
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