It can handle the information fusion filtering, smoothing and prediction problems in a unified framework.
它可统一处理信息融合滤波、平滑和预报问题。
Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.
特别可用于解决含有未知模型参数和噪声统计系统的自校正信息融合滤波问题。
Then based on the primary isolation result, the fault is accurately located by the multiple-model fusion filtering algorithm, and the fused state and fault estimates are obtained as well.
在初步分离结果的基础上，利用多模型融合滤波算法对故障进行精确定位并得到状态和故障的融合估计。
The general theoretical model and the way to put it into effect of federated filtering for multi-sensor information fusion are researched.
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。
This paper presents a new image fusion scheme based on local histogram matching filtering techniques for fusing high resolution panchromatic and multi spectral images.
本文提出了一种基于局部直方图匹配滤波技术的影像融合新方法。
By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.
将强跟踪滤波理论与多传感器数据融合估计方法相结合，提出基于强跟踪滤波器的多传感器数据融合估计新算法。
With covariance matching technique and innovation information of filtering, the noise variance is dynamically adjusted and the mean square error of the fusion system always keeps minimum.
该算法采用协方差匹配技术，依据滤波新息，动态调整测量噪声方差，使融合系统的均方误差始终最小。
To overcome the over-segmentation for the watershed, this paper presented a novel algorithm of watershed segmentation based on fusion and adaptive morphological filtering.
针对分水岭分割易产生过分割问题，提出一种基于融合自适应形态滤波的分水岭分割算法。
It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion.
采用扩展卡尔曼滤波实现异质传感器融合。
The optimal filtering fusion algorithms for systems with multiplicative noises under multi-sensor observation are mainly researched in this dissertation.
本文主要针对带乘性噪声系统的多传感器最优滤波融合估计算法作进一步研究。
Currently there exist three multisensor measurement fusion methods, namely, augmented method, pseudo-sequential filtering method, and combined measurement filtering method.
归纳三类多传感器量测融合算法，即扩维滤波法、伪序贯滤波法和复合量测滤波法。
So it can be concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
For colored noise system filtering fusion of vessel integrated navigation, the paper promote present sequential filtering algorithm from deal with white noise system to colored noise.
针对舰船组合导航中的有色噪声系统滤波融合问题，本文将现有的能处理白噪声的顺序滤波算法推广到有色噪声系统情形。
Based on multiscale optimal filtering fusion, an optimal state fixed-interval smoothing algorithm is developed for systems with multiplicative noise.
针对多尺度带乘性噪声系统，在多尺度最优滤波融合的基础上，进行状态最优固定域平滑算法的研究。
So it is concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct a centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
Mean shift is an effective iterative algorithm widely used in clustering, tracking, segmentation, discontinuity preserving smoothing, filtering, edge detection, and information fusion etc.
均值平移是一种有效的统计迭代算法，已广泛应用于聚类分析、跟踪、图像分割、图像平滑、滤波、图像边缘提取和信息融合等方面。
Firstly the data pre-processing technologies are researched, which include coordinate transform, coordinate fusion, data filtering.
本文首先研究了坐标变换、坐标归一化和数据滤波的数据预处理技术。
The algorithm first executed the adaptive morphological filtering of fusion to restrain dark noise and texture details of the images.
该算法对图像进行多结构多尺度自适应形态滤波处理，从而抑制图像的暗噪声和暗纹理细节。
In recent years, the research points of all researchers in countries mainly centralize on improvement of the model, filtering algorithm and data fusion technology aspects.
近年来各国研究者对交互式多模型算法的研究重点主要集中于对模型、滤波算法以及数据融合技术等方面的改进。
A novel multi-resolution image fusion based on mathematical morphological filtering is proposed.
提出了一种基于数学形态学滤波的多分辨力图像融合。
The paper presents a non-reference-signal algorithm of adaptive digital filtering on the basis of data fusion of multisensor.
介绍了一种基于多传感器融合无参考信号的自适应数字滤波算法。
As an important part of data processing and application in the space-based information network, multi-source information fusion plays an important role in the filtering and extractions of information.
多源信息融合作为天基信息网中数据处理和应用的重要组成部分，发挥着信息筛选和提取的重要作用。
The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.
针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。
The paper was concerned with the design of a fuzzy data fusion approach based on robust guaranteed cost filtering for uncertainties.
结合研究存在不确定因素的信息融合问题，提出了一种基于鲁棒保性能滤波的模糊信息融合方法。
The adaptive Kalman filtering (AKF) based on intelligent information fusion algorithm has currently became an effective approach to enhance the integrated navigation system's robustness and accuracy.
针对当前自适应组合导航系统算法的研究趋势，总结了卡尔曼滤波技术的缺陷和利用智能融合技术提高滤波器性能的设计思想。
Simulation results show that federated filtering based information fusion method for the multi-sensor satellite system is characterized by small computation cost, high precision and good reliability.
仿真结果表明，采用联邦滤波器对多敏感器卫星姿态确定系统进行信息融合，具有计算量小、精度高、可靠性好等优点。
Information Fusion. Image Filtering. Hybrid Filtering. Compositive Entropy.
信息融合。图像滤波。混合滤波。合成熵。
Information Fusion. Image Filtering. Hybrid Filtering. Compositive Entropy.
信息融合。图像滤波。混合滤波。合成熵。
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