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- 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。
- 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。
- Track-Before-Detect (TBD) approaches are quite effective on the detection of dim targets,and the basic thought of this method is avoiding of the loss of CFAR by processing the raw data directly. 检测前跟踪 (TBD)方法对弱小目标的检测非常有效 ;其基本思想是为避免恒虚警率 (CFAR)处理带来的信噪比损失 ;而直接对原始数据进行处理 .
- Detection of dim small targets in infrared images was addressed. 探讨了红外图像中的弱小目标检测问题。
- 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。
- detection of dim targets 弱目标检测
- For the detection of dim moving targets in the infrared image sequences,the wavelet transform is presented here. 研究了红外序列图像中弱小目标的检测。
- A new method for the detection of moving dim targets in cloud clutter image sequences is proposed. 摘要提出了云杂波背景下序列图像中弱目标检测新方法。
- 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。
- A multi-scan pre-smoothing RLS adaptive algorithm is proposed to enhance the detection of dim infrared targets in image data. 提出了一种多扫描预平滑RLS自适应算法用于增强红外成像数据中的弱目标检测。
- Automatic detection of small and dim targets in complex background clutters is a key technique in space surveillance system and early-warning system. 摘要复杂背景下的弱小目标检测是空间监视和远程预警中的关键技术之一。
- This thesis mainly deals with the research on the methods of dim and small moving targets detection of IR sequence images,and one of the methodology flow is presented. 开展红外序列图像中的弱小运动目标检测算法的研究,对在现有硬件技术水平条件下,提高区域防御系统的生存力、有效反击能力以及武器装备系统的有效杀伤能力具有重要的军事意义和实用价值。
- 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。
- 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。
- A new method was proposed for the solution of an important class of multidimensional signal detection problems: the detection of dim,small and moving targets of unknown position and velocity in heavy clutter in a sequence of digital images. 提出了一种新的方法应用于一类重要的高维信号检测问题:在强杂波干扰下检测数字图像序列中位置和速度未知的弱小运动目标.
- This paper study the detection of the small and dim targets in the infrared images from the view of image processing , analysis the imagery characteristics of noise, background and target. 本文从图像处理方法的角度对红外图像中弱小目标的检测进行了研究,分析了噪声、背景和目标的图像特征。
- The difficulties of dim target detection are analyzed in the paper. The performances of DBT and TBD are compared,and the theory of TBD are analyzed. The main methods of TBD are summarized. 文中分析了低信噪比复杂背景中红外弱小目标检测与跟踪的难点,比较了DBT与TBD两种检测与跟踪算法的性能,分析了TBD的检测机理,总结了典型的TBD方法,展望了TBD的发展。
- By using time-frequency localization of wavelet transform, we apply wavelet transform to detect dim target in small target images and present two fast from-coarse-to-fine algorithms of dim target detection. 本文利用小波变换的时频局部化特点,将小波变换用于检测图像中的弱小目标,并提出两种由粗到精的弱小目标快速检测方法。
- Detection method of dim targets in optical images 光学图像中弱信号小目标检测方法
- 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)。