For the moving target tracking mode, this paper propor. es a fusion target detection algorithm to realize the detection for weak object.
对于运动空间目标检测跟踪模式，由于要实现对弱目标的检测并且尽量减少虚警概率，本文提出了一种融合的运动目标检测算法；
By applying the method to the target identification, the simulation experiment shows that it can identify the target accurately and is an effective and feasible multi-sensor data fusion method.
将该方法用于一个目标识别任务的仿真实验，结果表明应用该方法能确定地识别出目标，是一种有效可行的多传感器数据融合方法。
A new recognition algorithm of small moving target based on multi-feature fusion is presented.
提出一种新的基于多特征融合的弱小运动目标识别方法。
A new feature level fusion and moving target tracking method for IR and visible images is proposed.
提出了一种红外与可见光图像的新颖的特征级融合与运动目标跟踪方法。
The final target representation model was obtained by means of linear fusing the two feature models, and the fusion coefficient was determined adaptively by contrast ratio of feature likelihood map.
并将两种特征模型进行线性融合，得到最终的目标表征模型，其中的融合系数由特征似然图对比度自适应确定。
In the approach Nif takes, called inertial confinement fusion, the target is a centimetre-scale cylinder of gold called a hohlraum.
在NIF采用的惯性约束聚变方法中，靶是一个厘米尺度的金制圆柱体，也叫做黑体辐射腔。
As a very important field of information fusion, image fusion has been extensively applied in remote sensing, medical science, computer vision, detecting and identification of military target etc.
图像融合作为信息融合的一个重要领域已广泛应用于遥感、医学、计算机视觉、军事目标探测和识别等多方面。
An important problem in fusion center is how to decide whether two tracks coming from different sensor represent the same target.
当多个传感器观测到同一目标时，融合中心则需要对源于同一目标的传感器航迹进行融合处理。
Target recognition is an important component of data fusion technology and also be a key problem in military affairs research field.
目标识别是数据融合技术的一个重要组成部分，也是军事技术研究领域中的一个重要课题。
To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
为了提高多传感器数据融合的精度，数据或航迹关联成为对目标跟踪滤波的关键。
Fuzzy integral is an effective decision level fusion method for target recognition.
模糊积分是一种有效的决策层融合目标识别方法。
The modeling for target tracking system is one of hot issues on information fusion.
目标跟踪系统的建模是信息融合研究的热点之一。
This dissertation points out the most pivotal problems in data fusion, i. e., data association, state estimation and target recognition, which are investigated in depth.
本文指出了数据融合中最为关键的几个问题——数据关联、状态估计和目标识别并围绕它们进行了深入的研究。
This information fusion discussed in this paper aims at the problem of target track correlation of radar.
本文讨论的信息融合是针对雷达目标识别航迹关联问题。
In this paper, a method for calculating track purity is proposed in order to realize the correlation between fusion tracks and true target tracks.
提出一种计算航迹纯度的方法，解决了融合航迹与目标真实轨迹的关联这一关键技术难题。
Based on this characteristic, the target of multi-band information fusion is to get more exact and reliable decision by fusing the multi-band SAR information than only using single-band information.
基于这一特点多波段SAR信息融合的主要目标是：通过对多波段SAR信息进行融合，得到比仅使用单波段信息更准确可靠的决策。
As to sea image, the variance feature of region of interest and the luminance contrast feature between target and background are used to fusion recognition.
对于海面图像，分别采用感兴趣舰船目标区域的方差值、目标和背景亮度对比度这两个特征对目标进行融合识别。
Taking detection probability of netted radar fusion center as target function, this paper establishes jamming resource optimum allocation model.
以组网雷达融合中心检测概率为目标函数，建立针对组网雷达系统的干扰资源优化分配模型。
According to target environment and information, target attribute information was captured with decision fusion identity model.
决策融合识别模型根据目标环境和情报信息，提取目标属性信息。
Improving texture and preserving edge is the important target of synthetic aperture radar (SAR) image fusion.
提高纹理清晰度、保护边缘信息是合成孔径雷达(SAR)图像融合的重要目标。
The paper also analyses several advantages of sequential fusion for mobile target.
本文还分析了在目标机动时使用序贯融合技术的优点。
A multiple sensor information fusion algorithms-posterior probability detection algorithms is presented and applied to target identification.
提出了一种用于目标识别的多传感器雅息融合算法—后验概率检测算法。
Techniques in multisensor target identity fusion for target identification are described in this paper.
本文针对目标识别问题，论述了多传感器目标属性融合技术。
We use a parallel and with feedback fusion system architecture, cascade D-S evidence theory to be fusion algorithm. Finally, a graphic target recognition system is realized.
系统采用有反馈的全并行融合系统结构，以分级式d S证据推理为数据融合算法，最终实现一个图形化的目标识别系统。
Protoplast fusion is a potential method, by which the target characters, especially ones controlled by multigenes or un-cloned genes, can be transferred.
原生质体融合是转移目标性状，特别是那些多基因控制或尚未克隆目标基因控制的性状的一种很有潜力的方法。
In this paper, the long-range target detection based on data fusion in visual and thermal infrared image sequences is proposed.
针对可见光和红外热图像序列中的远距离目标，提出了一种基于信息融合的目标检测方法。
A joint data association and bias estimation method is proposed to handle the negative effect of individual radar bias to track association and fusion in radar networks for target tracking.
针对雷达组网目标跟踪系统中，单雷达系统偏差严重影响多雷达航迹数据关联及融合跟踪质量的问题，提出了一种联合数据关联与系统偏差估计的方法。
At last, target is extracted by spatial-temporal fusion.
最后，经过时空融合提取目标。
Aim at the problem of detecting for distant small target with very low SNR, a method of two color IR small target fusion detection using D-S evidence theory is proposed.
针对远距离低信噪比条件下目标检测难的实际问题，提出采用D - S证据理论的双色红外小目标融合检测方法。
Then, a fusion recognition method was proposed using polarized information of target under the high range resolution fully polarized radar.
而后，基于全极化高分辨雷达，提出了一种利用目标极化信息一维距离像的综合识别方法。
应用推荐