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.
重点分析和介绍了红外弱小目标的探测、识别和跟踪算法。
The survey, recognition and track algorithm of the infrared small and weak goal with emphasis are introduced and analyzed.
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.
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。
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。
In this paper, we present a novel method for infrared dim targets detection based on local binary pattern (LBP).
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.
对红外弱小目标检测方法的研究依然是一个很具有挑战性的课题。
The research of infrared weak small target detection is still a issue with great challenge.
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.
方法之一是针对复杂背景下的红外弱小目标图像，提出了一种改进的最大化背景预测算法。
Among of the methods, the first improved algorithm based on background prediction is performed for small target detection in the complex background of infrared images.
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.
通过对复杂背景下红外弱小目标的实时跟踪，有效地验证本系统的重构性、实时性及适用性。
An application example on tracking weak IR target under complex background indicates that this system has good reconfiguration, real-time a...
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.
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。
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.
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.
实验及结果分析表明，基于中值滤波和多向梯度搜索目标检测算法能实时有效地检测出复杂天空背景下的红外弱小目标。
The results of some physical experiments showed that this method can detect the weak and small infrared target under complex background effectively in real time.
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.
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。
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.
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.
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.
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。
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。
A forward dynamic programming algorithm is presented in allusion to features of the moving infrared small dim target.
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