• A novel pipeline detection algorithm for dim target was presented.

    提出了一种弱小目标的管线检测算法。

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  • A new method of infrared small and dim target detection is proposed.

    提出了一种利用局部灰度特征分析进行红外弱小目标检测的新方法。

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  • 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。

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  • The experimental results show that the proposed algorithm is robust and efficient for IR dim target detection.

    实验结果表明,该方法能够稳健、有效地检测红外弱小目标。

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  • The effective tracking for dim target in low SNR image sequences has become a hot research field in recent years.

    近年来,低信噪比图像序列中弱小目标跟踪问题是国内外学者研究的一个热门课题。

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  • 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。

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  • Experiments indicate that it can preserve dim target information in small target images, and obtain good denoising effect.

    实验方面,该方法能很好的保留图像中的小目标信息,且去噪效果好。

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  • Detection of dim target in infrared image with strong noise and background is the emphasis and difficulty of target detection.

    强噪声背景下红外图像中弱小目标的检测一直是研究的重点和难点。

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  • 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。

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  • 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。

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  • 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。

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  • The technique of small dim target detection in low Signal-to-Noise and low contrast images has been the key technique of the electro-optical detecting system.

    低对比度、低信噪比弱小目标探测技术是光电成像探测系统的关键技术之一。

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  • We propose an improved algorithm based on fractal dimension and third-order characterization to detect dim target with cluttered background in an infrared (IR) image.

    为解决复杂背景下的红外弱小目标检测问题,提出了一种基于分维和三阶特征量的改进方法。

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  • The project of this thesis is supported by the National Science Foundation of China, named "Detection of small and dim target in infrared based on background prediction" (60007007).

    本论文课题来源于国家自然科学基金项目“基于背景预测的红外弱小目标检测技术”(60007007)。

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  • To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.

    针对图像序列中红外弱小目标的检测与跟踪中遇到的难点,即信噪比低、帧间相对位移小等问题,提出一种基于小波提升框架及小波能量的目标检测算法。

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  • Instead of traditional background prediction, this method detects infrared small and dim target by judging whether the local grey level surface possesses the two dimension Gauss function feature.

    该方法通过判断图像局部灰度包络曲面是否具备二维高斯函数曲面特征实现红外弱小目标检测,不需要进行传统的背景预测。

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  • 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.

    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。

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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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  • A new nonparametric algorithm based on mathematical morphology is proposed for the detection of dim moving point target in infrared image sequence.

    提出了一种新的基于数学形态学的红外图像序列中弱点状运动目标的非参数检测算法。

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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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  • 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。

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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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  • This paper researches the application of morphology reconstruction algorithm in dim point target detection and tracing, mainly in background estimation and post processing stage after detection.

    重点研究了形态学重构算法在微弱目标检测和跟踪中的应用,主要体现在对原始图像的背景估计过程和检测后处理过程。

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  • Detection of infrared dim small target becomes rather difficult if the target lies in a complicated background.

    当目标处于复杂背景中时,红外弱小目标检测将变得更加困难。

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  • In this paper, a new enhancement algorithm is presented based on the characters of infrared dim-small target images.

    针对红外弱小目标图像的特点,本文提出了一种新的增强算法。

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  • A technology based on adaptive image clutter suppression for detecting dim point moving target is investigated.

    一个微弱点运动目标检测的自适应图像杂波抑制技术的基础上进行了研究。

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  • 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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  • 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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