The fundamental program to multisensor data fusion is track correlation and track fusion.
航迹相关和航迹融合是多传感器数据融合技术中最基础的部分。
The method of utilizing multisensor data fusion to estimate UAV state parameters is proposed.
提出了利用多传感器数据融合的方法估计无人机的状态参数。
For distributed multisensor data fusion system, a multisensor asynchronous track fusion algorithm is proposed.
针对分布式多传感器数据融合系统，提出了一种多传感器异步航迹融合算法。
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。
With the continuous appearances of complex multisensor large-scale systems, multisensor data fusion technique has attracted comprehensive attention.
随着多传感器复杂大系统的不断出现，多传感器数据融合技术已经受到广泛关注。
This paper presents a new method of multisensor data fusion for measuring the temperature based on parameter estimation, and gives the data fusion algorithm.
本文提出了一种基于多传感器参数估计数据融合的热处理炉温度测量方法，给出数据融合算法。
The multisensor data fusion technology was described including its principle and method. And the algorithm for the application of the technology to nondestructive testing was given.
概述多传感器信息融合技术的原理与方法，着重介绍将该技术应用于无损检测时的具体算法。
A multisensor data fusion method based on Dempster-Shafer evidence theory is described, and an improved algorithm of D-S is put out to solve the dependent information in data fusion.
阐述了基于D -S证据理论的多传感器信息融合算法，提供一种基于D - S理论的改进方法以解决融合信息的相关性问题。
Due to the reasons of sensors in itself and the communication delays, the research of the asynchronous multisensor data fusion problem is more practical than that of synchronous one.
由于传感器自身以及通信延迟等原因，使得异步多传感器数据融合问题比同步问题的研究更切合实际。
The existing researches of multisensor data fusion applied in robots focus mostly navigation and orientation, and a few re-searches about the object tracking using robots are reported.
当前应用于机器人的多传感器数据融合研究大都集中在机器人自主导航和定位问题上，很少涉及利用机器人进行目标跟踪的研究。
Multisensor data fusion technique has been widely used in remote sensing image processing.
多传感器数据融合技术已广泛应用于遥感图象处理方面。
This article briefly analyzes the Multisensor Data Fusion(MSDF) technology theory, as well as its research techniques.
简要分析多传感器数据融合技术的理论及研究方法。
To solve the distributed attacks efficiently, this paper presents the Distributed Intrusion Detection Model Based on Multisensor Data Fusion and Mining (DIDM).
为有效解决分布式攻击，提出了基于多传感器数据融合与挖掘的分布式入侵检测模型。
By applying Multisensor Data Fusion and Data Mining to intrusion detection, DIDM provides the comprehensive assessment of network attack and defense situations continuously and globally.
将多传感器数据融合与数据挖掘技术应用到分布式入侵检测中，可连续和全面地提供网络攻防战场环境态势的综合评估。
By applying Multisensor Data Fusion and Data Mining to intrusion detection, DIDM provides the comprehensive assessment of network attack and defense situations continuously and globally.
将多传感器数据融合与数据挖掘技术应用到分布式入侵检测中，可连续和全面地提供网络攻防战场环境态势的综合评估。
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