研究了两种情况的数据关联-同类传感器和异类传感器。
Two kinds of data association conditions - homogeneous sensors and heterogeneous sensors are reseaerched in this thesis.
异类传感器的信息融合问题是一个重要而又困难的研究课题。
The information fusion problem of different type of sensors is an important and difficult research topic.
提出了一种基于HSI空间的假彩色异类传感器图像融合算法。
A false color image fusion algorithm based on HSI color space for different sensors was proposed.
首先介绍了数据融合的分类和异类传感器数据融合的应用优点。
In this paper, the classification of data fusion and application merits of dissimilar-sensor data fusion are discussed at first.
基于测量融合理论提出了一种任意相关噪声异类传感器非线性系统目标跟踪算法。
Based on measurement fusion theory, a target-tracking algorithm which fused measurements of nonlinear system with dissimilar sensors in case of arbitrary correlated noises is developed.
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.
该算法可以有效地实现异类传感器之间的误差配准，同时估计目标的运动状态和传感器的系统误差。
Registration for heterogeneous sensor can be realized effectively, track of target and sensors' systematic errors can be estimated simultaneously.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed.
为了提高多个异类传感器构成的集中式融合跟踪系统的计算性能，提出一种基于等效传感器的融合跟踪方法。
To improve calculation performance of centralized target tracking system which consists of multiple dissimilar sensors, a fusion tracking method based on equivalent sensor was presented.
异类传感器航迹关联是航迹融合中的一个难点，红外传感器与雷达的航迹关联是典型的异类传感器航迹关联。
Track association of heterogeneous sensors plays an important role in track fusion, and the track correlation of infrared sensor and radar is a typical correlation of heterogeneous sensors.
该算法降低了多传感器多目标跟踪的复杂性和计算量，有效地解决了异类多传感器可用公共信息少的问题。
The presented algorithm can reduce computing complexity and solve the common information-lacking problem of heterogeneous sensors efficiently.
该算法降低了多传感器多目标跟踪的复杂性和计算量，有效地解决了异类多传感器可用公共信息少的问题。
The presented algorithm can reduce computing complexity and solve the common information-lacking problem of heterogeneous sensors efficiently.
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