• This dissertation studies on small target detection algorithms in infrared images.

    本文研究了在红外图像中对弱小目标进行检测的技术。

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  • A simple and practical scheme about dim small target detection in cloudy background is given.

    介绍了一种简单可行的在云层背景下检测小目标的方案。

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  • 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。

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  • The small target detection in infrared image is one of the crucial techniques for the precision guided weapon.

    红外图像小目标检测是精确制导武器的关键技术之一。

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  • The experimental results show that the method is useful for small target detection in the complicated sea background.

    结果表明,该方法对于复杂的海面背景是有效的,能够很好地检测出目标点。

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  • A new small target detection method for infrared image based on energy accumulation and mean shift clustering is presented.

    研究红外图像中弱小目标的检测问题,提出了一种基于能量累积与均值漂移聚类的红外小目标检测方法。

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  • Firstly it sums up the current infrared small target detection techniques and gives brief introductions to some major algorithms.

    文章首先整理归纳了现有的各种红外小目标检测方法,并简要介绍了各种主要的检测算法。

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  • For the infrared dim small target detection in complex cloud background of IRST, a robust algorithm of low false alarm is proposed.

    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。

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  • 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。

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  • And the technique of small target detection is put forward based on temporal predictions of the background in infrared image sequences.

    从背景出发,充分利用在图像序列中占绝大部分的背景像素来构造弱小目标的检测,并提出在时域上利用背景预测技术实现检测。

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  • This paper presents a new small target detection approach, which is based on multi resolution distance map and background texture analysis.

    本文提出了一种基于背景纹理分析和多尺度距离像分析的目标检测方法。

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  • An attention mechanism appropriate for infrared (IR) small target detection is proposed, which is used as pre detection to limit detection in the smaller area.

    在红外小目标检测中引入视觉注意机制,以计算量较小的预检测为代价减小了目标检测的区域。

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  • Dim small target detection and tracking is the key technology of the infrared surveillance system, precise guidance system, and satellite remote sensing system.

    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。

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  • According to their different characteristics of the targets, noises and background edges in wavelet domain, a small target detection algorithm based on wavelet analysis is proposed.

    根据目标、噪声和背景边缘在小波域的不同特点,提出一种基于小波分析的红外小目标检测算法。

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  • A new method was provided based on the empirical mode decomposition (EMD) to solve the difficulties of infrared image dim small target detection in complex background of sky and sea.

    针对红外图像中的小目标检测,提出了一种利用经验模态分解(EMD)提取海空背景下红外弱小目标的新方法。

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  • The small target detection method of infrared imagery in complex background of sea and sky in studied, and an algorithm based on wavelet analysis and mutual energy combination is presented.

    研究复杂背景下红外图像小目标检测问题,提出一种基于小波分析互能量交叉处理的目标检测方法。

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  • 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.

    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。

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  • 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。

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  • 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。

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  • Small target detection in complex background is considered as a problem of finding the special patterns in similar patterns.

    将复杂背景下的小目标检测问题看作是在大量相似模式中寻找某个特殊模式的模式识别问题。

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  • Small target detection in complex background is considered as a problem of finding the special patterns in similar patterns.

    将复杂背景下的小目标检测问题看作是在大量相似模式中寻找某个特殊模式的模式识别问题。

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