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- IR dim target 红外弱小目标
- A suitable method is proposed for detecting and tracking dim target in IR image sequence with low contrast and moving background. 对低信噪比运动背景下序列图像中弱小目标的提取算法进行了研究,提出一种新的目标提取算法。
- 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。
- Dim target detection and location from infrared image is studied. 研究红外目标图像中弱小目标的自动检测和定位方法 .
- This paper mainly researches detection and tracking methods of dim target. 本文重点研究了弱小目标检测及其跟踪的方法。
- 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. 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。
- 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。
- Secondly, a new method of dim target detection and tracking based the feature of target area is proposed. 其次,本文利用目标邻域的特征,提出了基于邻域特征的弱小目标检测和跟踪方法。
- According to analysis of targets and background in IR images, a method of small dim targets detection based on fusion of the mark information and gradient information was proposed. 基于对红外图像中目标和背景特性的分析,提出了一种新的基于标记信息和梯度信息相融合的弱小目标检测方法。
- In this paper,the infrared dim target detection based on the wavelet transform and target motion features is studied. 本文研究基于小波变换和目标运动特性的红外弱小目标的检测。
- 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。
- Simulation results show that it is a high power to detect the small dim target with SNR less than 2 in single frame by using the algorithm. 实验证明,该算法对于信噪比小于2的弱小目标有较强的单帧检测能力。
- It is difficult for moving dim target to tracking and detect because the Signal Noise Ratio(SNR) of target is low and it has not texture etc. 研究低信噪比弱小目标的实时检测及跟踪算法,其困难主要为:目标信噪比低,无纹理特征。
- A new fast detection algorithm for moving dim target in infrared image based on frizzy fusion is proposed in this paper. 摘要提出了一种基于模糊融合的红外弱小目标快速检测新算法。
- So the dim targets detection in infrared image has big practical value. 因此,红外图像弱小目标的检测具有较大的实践意义。
- Detection of dim targets in FLIR imagery using multiscale transforms. 基于分形理论的红外图像边缘检测。红外技术。
- A real-time dim target detection algorithm in large field and deep sky was presented that adopted USAN filtering following depressing noise using Max-Mean filter. 根据深空背景的特点,提出了采用最大中值滤波降噪,基于USAN原则,即吸收同值核区(Univalue Seg-ment Assimilating Nucleus)原则进行弱小目标检测的算法。
- Because of difficulties of dim target detection and identifying, and there are background clutters and noise interfering, the dim target is easy to be masked. 由于微弱目标本身就很难以检测和识别,再加上图像背景杂波以及噪声的干扰,很容易将微弱目标掩盖掉,所以在进行目标检测之前需要进行背景杂波估计与抑制,事实证明这样的过程是必要、可行的。
- New method of IR small dim target detection in big clutter background 强噪声背景下红外弱小目标的快速检测方法
- The paper mainly researches the methods of the infrared small and dim targets detection. 本文重点研究了红外弱小目标的检测方法。
