提出了一种弱小目标的管线检测算法。
A novel pipeline detection algorithm for dim target was presented.
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.
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.
弱小目标检测是当今研究的热点问题之一。
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.
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.
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.
为了检测出起伏背景下的弱小目标,需要对红外图像进行背景抑制。
In order to detect the weak targets from clutter background, the background suppression of IR image is necessary.
采用图像切割技术,有效解决了弱小目标在大背景下分割难的问题;
The problem that the small object was difficult to segment from the large background was solved effectively by adopting image incision technology.
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。
A detection method for small target is proposed according to the correlation of the small moving target in sequential images.
介绍一种用于夜间对空间弱小目标进行捕获、测量的微光大视场测量仪。
A wide FOV low-light-level measurement instrument is described, which is used to acquire and measure a small space target at night.
实验结果表明,与高通滤波相比,该方法能够更有效地检测出弱小目标。
Experimental results show that it can detect the target more effectively compared with the high-pass filtering.
系统的每个传感器对每个弱小目标的检测效果越好,其融合、跟踪能力越理想。
The better results of dim small targets detection for each sensor of system, the better ability of fusion and tracking.
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。
Low SNR small moving target detection is a key technique in a target detection, recognition and tracking system.
本文着重对天空背景和复杂海天、海面背景下的弱小目标检测算法进行了深入研究。
This thesis researches the detection algorithm of small target under sky background and sea-sky background.
复杂背景下弱小目标的稳定跟踪控制,利用自适应阈值跟踪波门和鼠标导引来实现。
The stable tracking control of puny target in complicated is realized by utilizing the tracking window of adaptive threshold value function and mouse guide function.
提出一种有效的背景杂波预测形态神经网络模型,用于检测图像数据中的弱小目标。
An effective morphological neural network of background clutter prediction for detecting dim small targets in image data was 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.
本文从理论上分析了小波滤波器特性,提出了一种适合弱小目标图像的快速滤波方法。
This dissertation makes a theoretical study of filter feature, then applies it into small image denoising, and present a fast denoising method suitable for small target images.
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.
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.
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。
To detect a small dim target in the clutter background, a CFAR method based on the CEM algorithm is described.
本文对基于主成分分析的特征级图像融合及其在弱小目标匹配识别上的应用做了一定的研究和探索。
This dissertation mainly studied the image feature fusion based on PCA (principal component analyses) and its application of Small-weak target matching.
本文对基于主成分分析的特征级图像融合及其在弱小目标匹配识别上的应用做了一定的研究和探索。
This dissertation mainly studied the image feature fusion based on PCA (principal component analyses) and its application of Small-weak target matching.
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