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.
主滤波器(全局滤波器)进行子滤波器的公共状态矢量融合和时间更新，输出可靠、准确的导航参数误差的全局最优估计量。
Primary filter accomplishes the fusion of public state vectors about sub filters and time updating, and outputs the credible, precise and optimal estimation of navigation parameter error.
矢量空间数据融合中最难的问题来自于数据的多源性、不一致性。
The most difficult problem in vector-vector data fusion is the multi-source and inconsistency of data.
而多源矢量空间数据融合最大的难题之一就是识别多源数据之间的对应实体。
While one of the most difficult tasks in vector-vector data fusion is the identification of corresponding object of multi-source data.
通过创建与栅格图像相对应的WORLD文件，可以实现栅格图像与矢量图的融合。
The merging of raster and vector image can be carried out by creating WORLD file relevant to the raster image.
提出了基于小波变换的HSI空间的彩色纹理墙地砖图像的特征提取新算法，得到具有颜色、纹理和尺度融合信息的特征矢量。
A new feature algorithm is proposed based on wavelet transform in HSI space to obtain a feature vector with combining information of color, texture and scale.
介绍了一种新的基于信息融合的TM影像和GIS矢量数据自动配准方法。
This paper introduce a new method for automatic registration based on amalgamation of information on TM image and gis vector data.
FLASH可以制作丰富多彩的矢量动画，并且用它可以将音乐，声效，动画以及富有新意的界面融合在一起，以制作出高品质的动画效果。
FLASH can create colorful vector animations, and use it will sound effects, animation, music and rich and new interface fuses in together, to produce high quality animation effects.
该方法实质上是将目标的决策分布图作为特征矢量，将其和每类目标的决策模板进行匹配以实现融合识别。
In essence it takes the decision profile and decision template as target's feature vector and template respectively, and adopts template matching method to target recognition.
针对矢量图形的版权保护问题，提出了一种基于SVM分类融合的多矢量曲线水印检测方法。
In order to protect the copyright of the vector graphics, in this paper we introduce a fusion rule for watermark detection of vector curves using SVM classification.
后者首先同步车速矢量与北斗卫星测量得到的车辆位置矢量，再根据融合结果估算车辆定位信息。
The latter estimates the vehicle position by synchronizing the speed vector and the position vector measured by Beidou system.
后者首先同步车速矢量与北斗卫星测量得到的车辆位置矢量，再根据融合结果估算车辆定位信息。
The latter estimates the vehicle position by synchronizing the speed vector and the position vector measured by Beidou system.
应用推荐