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。
Firstly, the character of multi-target detection is analyzed, the fractal theory is introduced, and then the theory of fusion detection scheme is introduced in detail.
首先对多目标检测的特点进行了分析，对分形理论进行了介绍，然后详细介绍了该融合检测算法的思路和原理。
Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference.
针对双色红外成像制导系统中多传感器目标跟踪的实际问题，提出了一种基于模糊推理自适应加权融合的目标跟踪算法。
Target tracking, which is a major part of data fusion, includes single target tracking and multi-target tracking.
目标跟踪作为信息融合的重要环节，包括单目标跟踪和多目标跟踪两方面。
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。
The forestage of the fusion model completes target presort and its post-stage is used to multi-period uncertainty inference and the whole set distribution of probability.
该推理模型前级采用神经网络并行子网，用于目标的预分类，后级采用证据理论用于多周期的不确定性推理和概率的全局分配。
A moving target recognition method is proposed in this paper, which is based on multi-features fusion.
本文基于多特征融合，提出了一种运动目标识别方法。
Aiming at the target recognition problem of multi-sensor with multiple characteristic indexes, a new fusion method data is proposed.
针对具有多个特征指标的多传感器目标识别问题，提出了一种新的融合方法。
In order to meet the needs of target recognition, the data fusion technology of multi-sensor has become a research hotspot.
为了满足目标识别的需要，多传感器的数据融合技术已经成为研究的热点。
The problem of multi-sensor target identification is researched, a new approach to weighted evidence data fusion is proposed.
给出了证据理论的基本概念、组合规则、加权证据组合及决策规则，同时给出简单的多传感器信息融合模型。
Aiming at single sensor's limitation on spectrum and spatial resolution, this paper USES the technology of multi-sensor fusion, which furthest obtains the information description of target scene.
针对单一传感器在光谱、空间分辨率等方面存在的局限性，通过多传感器融合技术，最大限度地获取对目标场景的信息描述。
In the distributed multi-sensor multi-target information fusion system, the local sensors usually provide the respective tracks at the different rates with different communication delays.
在分布式多传感多目标信息融合系统中，由于每个局部传感器的采样频率不同以及具有不同的通信延迟，导致送入融合中心的局部航迹往往不是同步的。
Secondly, for multi-sensor multi-target tracking, data association is one of important problems, and is the precondition of data fusion.
其次，对于多传感器多目标跟踪问题，数据关联是其中一项重要问题，也是实现多传感器数据融合的前提。
Objective: To study the significance of Stereotactic radio-frequency ablation multi-target in limbic system for treatment of intractability psychosis by image fusion with ct or MRI.
前言：目的：探讨CT、mri图像融合技术引导下立体定向边缘系统内多靶点射频消融治疗难治性精神病的意义。
For distributed multi-sensor fusion multi-target tracking system, an efficient sequential track-to-track correlation and fusion algorithm is proposed.
对于分布式多传感器融合多目标跟踪系统，提出一种序贯处理的航迹关联融合算法。
Xiaojun Yang, Ruixin Niu, Engin Masazade, Pramod K. Varshney. Channel Aware Target Tracking in Multi-hop Wireless Sensor Networks. Information Fusion, 2011.
杨小军，邢科义。无线多跳传感器网络下基于粒子滤波的信道容错的目标跟踪方法。自动化学报，2011。
Xiaojun Yang, Ruixin Niu, Engin Masazade, Pramod K. Varshney. Channel Aware Target Tracking in Multi-hop Wireless Sensor Networks. Information Fusion, 2011.
杨小军，邢科义。无线多跳传感器网络下基于粒子滤波的信道容错的目标跟踪方法。自动化学报，2011。
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