Particle swarm optimization (PSO) is proposed for detecting small moving target.
提出一种基于粒子群算法的运动小目标检测算法。
A new recognition algorithm of small moving target based on multi-feature fusion is presented.
提出一种新的基于多特征融合的弱小运动目标识别方法。
Recognition algorithms for small moving target in strong noise based on single feature has a high false alarm.
利用单个特征识别强噪声中的弱小运动目标，常因所提取的目标特征与噪声特征易混淆而导致高的虚警率。
Low SNR small moving target detection is a key technique in a target detection, recognition and tracking system.
在目标检测、识别与跟踪系统中，弱小目标的检测是需要解决的关键技术之一。
An algorithm of small moving target detection in infrared image sequences is presented based on image flow analysis method.
提出一种利用图像流分析法对红外序列图像中的运动小目标进行检测的算法。
A detection method for small target is proposed according to the correlation of the small moving target in sequential images.
根据序列图像中运动弱小目标的相关性，提出一种弱小目标检测的方法。
An efficient approach for segmenting and detecting small moving target in infrared image sequences against complex cloud layer background is given.
提出了一种对复杂云层背景下红外图像序列中弱小运动目标分割和检测的方法。
Recognition algorithms for small moving target in strong noise based on single feature has a high false alarm. Sometimes the features of target and noise are very alike.
利用单个特征识别强噪声中的弱小运动目标，常因所提取的目标特征与噪声特征易混淆而导致高的虚警率。
A small moving target detection method based on the eight close area judgement is proposed according to the signatures of the small moving targets in air infrared images.
针对空中红外图像中运动小目标的特征，提出了一种基于八邻域判决的运动小目标检测方法。
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。
To resolve the detection of moving small target in infrared image sequences, a new small target detection method based on order morphology filtering is presented, and the detailed algorithm is given.
针对红外图像中运动弱小目标的检测问题，本文提出了基于顺序形态滤波的小目标检测方法，并给出了具体算法。
The detection and recognition of infrared moving small target in a sky background is considered in this paper.
研究了天空背景下红外运动小目标的检测与识别。
To consider the echoes' characteristic of the moving target with small angle for inverse synthetic radar (ISAR), the target's echoes are simulated by generating the envelope and phase quickly.
针对逆合成孔径雷达（ISAR）的小转角目标回波特点，提出通过快速生成包络和相位的方法来构成目标回波。
Such as smart weapons, intelligent robot vision system and micro air vehicles, expected the whole system weight light, size small, large field of view and the more sensitive to the moving target.
如智能武器、智能机器人视觉系统以及微型飞行器等，期望整个系统重量轻、体积小、视场大以及对运动目标更敏感。
A forward dynamic programming algorithm is presented in allusion to features of the moving infrared small dim target.
文章针对低信噪比下红外弱小运动目标的特点，提出了一种正向动态规划算法。
The simulation results using Moving and Stationary Target Acquisition and Recognition (MSTAR) data indicate that the error of the proposed method is small, and thus it has high accuracy.
移动与静止目标获取与识别（MSTAR）公共数据库实测数据的仿真结果表明，该方法估计误差较小，可获得较高的估计准确度。
The experiment results show that the algorithm can detect the true moving small target effectively.
实验结果表明，该算法能有效地检测出运动小目标的位置。
To the small target detection, this dissertation adopted the different strategy to image sequences captured by fixed or moving camera.
在微小运动目标检测技术中，论文对固定摄像机和运动摄像机采集的图像序列采用不同的检测策略。
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。
A novel method to detect and track small moving point target in image sequence is proposed in this paper, based on combination of the correlation of multi-frames and wave gate techniques.
提出了一种基于多帧相关技术与波门选通技术相结合的快速目标识别与跟踪方法。
According to the characters of the small dim moving target, a method based on morphology and motion association is applied to the platform to verify its performance.
针对弱小运动目标的特点，采用了一种基于灰值形态学滤波和运动关联的检测方法来检验该平台性能。
According to the characters of the small dim moving target, a method based on morphology and motion association is applied to the platform to verify its performance.
针对弱小运动目标的特点，采用了一种基于灰值形态学滤波和运动关联的检测方法来检验该平台性能。
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