According to the statistic characteristics of IR background clutter, an improved spatial matched filter (SMF) is presented.
针对红外背景杂波的统计特性，提出了一种改进型的空间匹配滤波算法。
The effective detection for point target in low SNR IR images is dependent greatly on the suppression of background clutter.
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。
To detect small moving targets in complex visible image background clutter, the spatial-temporal difference method is presented.
针对可见光图像背景下的运动小目标检测，提出了一种空时域联合差分的检测方法。
The targets are in the background clutter which intensity is heavy. So the performance of the general algorithms is not very good.
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。
An effective morphological neural network of background clutter prediction for detecting dim small targets in image data was proposed.
提出一种有效的背景杂波预测形态神经网络模型，用于检测图像数据中的弱小目标。
If the information about fixed clutter in SAR image can be used to suppress the background clutter, the detection of moving target will be easy.
利用单通道sar图像中静止背景的信息抑制静止杂波，可改善检测动目标的性能。
Also, a stretch processing of LFM signal to remove the background clutter is discussed. This method is simple and easily implemented in engineering.
该文提出的基于线性调频信号拉伸处理的杂波剔除方法，在用干涉技术进行三维成像之前剔除强背景杂波，方法简单易于工程实现。
Theory analysis and computer simulation show the improved SMF is a linear approach and it can extract dim target from IR background clutter effectively.
原理分析与实验结果表明，这是一种易于硬件实现，能有效抑制强起伏背景杂波的线性滤波方法。
Because there is speckle noise in SAR image and the background clutter of water is usually very complex, weak target detection is a big challenge for conventional methods.
SAR图像存在相干噪声以及水面背景杂波的复杂性，传统方法对于弱目标检测存在困难。
The key techniques of automatic target identification in non-tracking emplacement reconnaissance radar are static background clutter processing and identification of target signals.
基于背景杂波的处理和目标信号的识别，讨论了非跟踪体制炮位侦察雷达目标的自动识别问题。
According to the imaging difference of target, background clutter and noise, a moving small target detection method based on spacial high-pass filtering and N-frame track accumulating is presented.
根据目标、背景干扰和噪声在红外序列图像中的差异，提出了一种基于空间高通滤波和时间域上N帧轨迹积累的运动小目标检测方法。
The experiment results indicate that wavelet transform can enhance the target and suppress background clutter effectively, and improve the target detection probability and reduce the detection error.
实验结果表明，小波变换能很好地增强目标，抑制背景杂波，从而提高目标检测概率，降低误检测。
The MTD (moving target detection) radar is widely used in detecting motive targets under the background of strong clutter, and most of its performances receive more and more attentions.
动目标检测(MTD)雷达作为一种被广泛用于强杂波背景下检测运动目标的雷达，其各项性能越来越受关注。
CFAR detection of radar targets in heavy clutter background is an important part in radar signal processing.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
CFAR detection of radar targets in heavy clutter background is an important unit in radar signal processing.
强杂波背景中的雷达目标恒虚警检测是雷达信号处理的重要组成部分。
In view of the applied background of CFAR processor in multi-distribution clutter, the detection performances of the clutter distribution test CFAR (CT-CFAR) are investigated.
针对恒虚警(CFAR)处理器在多分布类型杂波中的应用背景，分析了杂波分布检验恒虚警(CT -CFAR)处理器的检测性能。
A small target detection method using Kalman filter as the clutter background prediction was presented.
提出了一种采用卡尔曼滤波器作为杂波背景预测器的小目标检测方法。
Harmonic radars are characterized by effectively detecting metallic junction targets in clutter background.
谐波雷达的特点是能够在杂波背景中有效探测金属结目标。
This paper, in connection with ir target signature research, deals with the principle and realization for the ir imaging terminal-guidance technology of air-to-air missile in clutter background.
通过结合目标红外特征，研究了空-空弹在复杂背景条件下的目标红外成像末制导的技术原理和实施途径。
Theoretical analysis and simulation result show that the proposed method can enhance the CFAR detection performance for AEW radar in the sea clutter background effectively.
理论分析和仿真结果表明，该方法能有效地提高AEW雷达海杂波背景中的CFAR检测性能。
This paper also studies the statistics characteristic of signal, clutter and noise after the system disposal, and generates target data and detecting background noise using the simulated system.
研究了信号及杂波、噪声在信号处理之后的统计特性，并通过仿真系统产生了目标回波数据及检测背景噪声。
Combined with the research on ir imaging signature of target, the principle of ir imaging homing guidance technology of air defence missile in clutter background is described.
结合对目标红外特性的研究，阐述了在复杂背景条件下防空导弹对目标的红外成像寻的制导原理。
To detect a small dim target in the clutter background, a CFAR method based on the CEM algorithm is described.
为了实现复杂背景下的弱小目标恒虚警检测，提出了一种基于CEM算法的恒虚警探测算法。
The proposed detection algorithm ensures the constant false alarm rate (CFAR) in homogeneous and partially-homogeneous clutter background.
研究结果证明该算法在均匀杂波环境和局部均匀杂波环境都有恒虚警的性质。
The experimental results show that the algorithm can effectively suppress heavy clutter background and reliably detect dim infrared targets when SCR is larger than 1.
实验表明，该方法能够有效地抑制强杂波背景，在SCR>1时，能可靠检测目标。
The key task of airborne early warning (AEW) radar is to find and track targets in a complicated background, so the suppression of interference and clutter in radar system is of great importance.
机载预警雷达的核心任务就是在复杂的背景环境中发现并跟踪目标，因此，抑制杂波和干扰就是关键。
A new method of IR small dim target detection based on big clutter background was provided. It worked well in heavy cloud and big moving clutter background.
提出了一种强噪声背景下弱小目标的快速检测方法，解决了在此背景下存在厚云层和大运动杂波的问题。
Firstly, a background estimation method based on small window and two dimension median filter is presented after detail analysis of the model of small infrared target, noise and clutter.
首先分析了红外小目标、噪声及其杂波特性，提出了用小窗口的二维中值滤波进行背景估计；
Further, the paper discusses the influence of increasing the time samples on the detection performance under different coherent clutter background.
在此基础上讨论了在不同时间相关性杂波背景下时域采样的增加对检测性能的影响。
Further, the paper discusses the influence of increasing the time samples on the detection performance under different coherent clutter background.
在此基础上讨论了在不同时间相关性杂波背景下时域采样的增加对检测性能的影响。
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