研究多传感器特征信息融合问题。
In this paper, multisensor attribute information fusion is studied.
多传感器融合系统具有高度的容错性能。
Multisensor fusion system is characterized by its highly fault toleration.
设计了一个基于多传感器的焊接质量检测系统。
A welding quality prediction system based on more sensors is developed.
应用多传感器信息融合技术，降低了测量误差。
The application of information blending technique with many sensors decreases the error of measuring.
研究了基于多传感器数据融合的障碍检测问题。
Study obstacle detection problem of data fusion based on multi-sensors.
也可以采用该方法进行多传感器数据纵向融合预告。
Also can use this method to undertake fore-and-aft confluence forecasts much sensor data.
线性规划方法在多传感器管理中的应用已比较经典。
It is typical that the method of linear programming is applied to multisensor management.
多传感器数据融合分两大类：估计融合，决策融合。
Multi-sensor data fusion has two main classes: estimation fusion, decision fusion.
无线传感器网络是多传感器与无线网络领域的交叉应用。
Wireless sensor network is an intercrossed application between multisensor and wireless network.
传感器管理的目的之一是将多传感器资源分配给多目标。
One of the sensor management purposes is to allocate sensors to targets.
分布式多传感器信息融合能够提高系统的可靠性和可信度。
The distributed data fusion can rise the system's reliability and survivability effectively.
多传感器数据融合是进行高精度检测的主要方法和关键技术。
The multisensor integration and data fusion is key technology for high precision measurement system.
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。
Techniques in multisensor target identity fusion for target identification are described in this paper.
在多传感器测量标定和数据处理中加以应用，提高了计算精度。
This method is applied in multisensor measuring calibration and data processing to improve calculating precision.
文章提出了一种应用多传感器模糊数据融合技术的信息检测方法。
The paper put forward an information detection method using fuzzy data fusion technology of multi-sensor.
传感器融合也称为(多传感器)数据融合，并作为信息融合的子类。
Sensor fusion is also known as (multi-sensor) Data fusion and is a subset of information fusion.
多传感器数据融合引入ATR系统首先面临的是传感器的选配问题。
The first problem is the sensor selection while the multisensor fusion is introduced in ATR system.
基于信息增量提出了一种多传感器对多目标检测与分类的优化算法。
An optimizing algorithm based on information gain is put forward for multisensor detection and classification of multitargets.
采用多传感器数据融合技术可以提高编队电子战的指挥和作战能力。
Adopting multi-sensor data blend technology can increase the command and operation capability of formation EW.
在多传感器的应用，通信网络连接，使系统经常协调传感器可以完成。
In multiple sensor applications, a communications network often connects sensors so that system coordination can be accomplished.
实验证明基于多传感器和人工神经网络的焊接质量检测系统是有效的。
The experiments show that the welding quality prediction system based on more sensors and ANN is efficacious.
对多传感器信息融合联邦滤波一般理论模型及其实现方法进行了研究。
The general theoretical model and the way to put it into effect of federated filtering for multi-sensor information fusion are researched.
他设想未来的多传感器接口可以回复一切内容，从用户动作到语音的情绪。
He envisages a future of multi-sensor interfaces that respond to everything from gestures to the emotion in a user's voice.
多传感器图像自动配准技术是军事领域里多传感器图像融合的必要前提。
Multiple sensor images automated registration is the necessary premise for mutiple sensor image fusion in military field.
提出了一种基于多传感器数据融合的粮库温度监测系统，给出了数据融合算法。
This paper presents a temperature measurement system for grain depot based on multi-sensor data fusion, and gives the data fusion algorithm.
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。
To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.
在分布式多传感器系统中的多节点情况下，航迹关联问题可以转化为多维分配问题。
In a distributed multisensor system, the problem of track correlation can be transformed into the problem of multi-dimension assignment.
多传感器管理应用于多传感器领域，用来提高数据融合的性能及对环境的检测程度。
Multisensor management applied in the multisensor field, is used to advance the capability of data amalgamation and the checkup degree about environment.
Lothar系统是一种多传感器系统，专为配备“蒂尔德”热成像仪(红外制冷)的火控系统设计。
LOTHAR (Land Optronic thermal Aiming Resource) is a multi sensor system specifically designed for Fire Control Systems equipped with the "Tilde" thermal camera (ir cooled).
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
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