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- radar dim target detection 雷达微弱目标检测
- 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 .
- Dim Target Detection of Pulsed Radar Based on IPPS 脉冲雷达微弱目标的IPPS检测
- 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。
- 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。
- 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。
- 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。
- 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。
- 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. 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。
- 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。
- The dim targets detection in infrared images is one of the key techniques in military weapon system. 因而,红外图像弱小目标的检测是军用武器系统中的关键技术之一,是提高武器系统性能的关键。
- A New Method of Small Dim Target Detection 一种新的弱小目标检测方法
- IMAGE FLOW APPROACH TO DIM TARGET DETECTION 弱目标检测的图像流法
- First of all, this paper introduces the state of researches of dim target detection and tracking in domestic and abroad. And, it describes some aspects which is increasing image, detecting target, tracking target, etc. 本文首先介绍了一些国内外对于弱小目标检测与跟踪的一些研究现状,主要从图像增强,图像检测,图像跟踪等几个方面展开说明。
- On the other hand, dim targets detection in infrared image is also widely used in public, such as the astronomy prognosticates, particle collision, forest early warning and remote sensing etc. 另一方面,红外图像弱小目标探测在民用方面应用也很广泛,如天文观测、粒子碰撞、森林预警以及遥感等。
- 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。
- Because the detecting algorithms and training methods aregeneral,they can be applied to other small and dim targets detection problems. 由于该算法和训练方法具有一般性,因此可以推广到一般弱小目标检测问题中去。
