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。
Detection of infrared dim small target becomes rather difficult if the target lies in a complicated background.
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。
A new method of infrared small and dim target detection is proposed.
首先，综述了红外弱小目标检测技术的国内外研究状况，分析了红外成像机理及特点。
Firstly, the state of arts of infrared weak and small targets detection is reviewed in domestic and abroad, and the mechanism of infrared imaging is analyzed.
针对红外图像的特点及分形分维的特性，提出了基于分维像的红外弱小目标检测方法。
Based on the features of infrared image and the speciality of fractal dimension, a method of detection infrared dim small target based on fractal dimension was presented.
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。
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.
红外弱小目标检测技术是红外搜索与跟踪、红外预警、红外制导等防御和武器系统中的核心技术之一。
Dim and small moving targets detection of IR sequence images is a key technique for the IR detection and tracking, alarming, guiding system.
大量的实验结果证明，这几种方法对复杂背景下的红外弱小目标检测很有效，并且准确性高、实时性强。
A lot of experimental results demonstrate that several methods presented infrared dim and small targets detection in the complex background are very effective, exact.
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)。
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).
文章总结了自适应背景预测技术在红外弱小目标检测领域的典型应用，分析了线性和非线性自适应算法的优缺点。
The typical applications of adaptive background prediction technology in weak and small infrared target detection are summarized in this paper.
其次，利用小波多分辨分析特性，提出了基于小波分析的自适应门限检测方法，有效地提高了红外弱小目标检测性能。
Secondly, a new method of infrared weak and small targets detection based on wavelet and adaptive threshold is proposed with an effective improvement detection of performance.
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。
For the infrared dim small target detection in complex cloud background of IRST, a robust algorithm of low false alarm is proposed.
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。
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.
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。
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.
探讨了红外图像中的弱小目标检测问题。
Detection of dim small targets in infrared images was addressed.
提出了一种红外图像序列中运动弱小目标检测的新方法。
A new detection method for moving dim small targets in infrared image sequences is presented.
本文重点研究了红外弱小目标的检测方法。
The paper mainly researches the methods of the infrared small and dim targets detection.
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。
Dim small target detection and tracking is the key technology of the infrared surveillance system, precise guidance system, and satellite remote sensing system.
红外图像中的弱小目标因为信噪比和对比度较低，用单帧图像检测很难得到满意的效果，利用多帧图像信息进行检测是有效的手段之一。
In terms of the low SNR and contrast, the small and dim targets can not be easily detected in a single IR image, so utilizing a sequence of images is an effective method.
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。
An efficient approach for segmenting and detecting small moving target in infrared image sequences against complex cloud layer background is given.
本文研究了在红外图像中对弱小目标进行检测的技术。
This dissertation studies on small target detection algorithms in infrared images.
实验结果表明，该算法对实时检测在复杂背景的红外图像中运动的弱小目标具有很好的效果。
The experiment results showed that this method is effective for detecting the small infrared target under a complex scene in real time.
实验结果表明，该方法能够稳健、有效地检测红外弱小目标。
The experimental results show that the proposed algorithm is robust and efficient for IR dim target detection.
提出了一种新的基于模糊分类的红外云层背景弱小目标检测方法。
A new method is proposed to detect infrared small and dim targets in cloud cluster image based on fuzzy classification.
为了提高红外图像序列中弱小目标的信噪比和检测概率，同时考虑检测算法实时性，提出了一种新的基于空时域滤波的小目标检测方法。
To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences, a novel method of target detection based on spatial-temporal filtering is proposed.
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。
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.
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。
A new small target detection method for infrared image based on energy accumulation and mean shift clustering is presented.
针对云天背景下的红外运动弱小目标，提出了一种融合检测的方法。
A fusion detection method that detects moving targets in infrared image sequences under clouds and sky background is proposed.
针对云天背景下的红外运动弱小目标，提出了一种融合检测的方法。
A fusion detection method that detects moving targets in infrared image sequences under clouds and sky background is proposed.
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