• However, the multi level fusion architecture, another important multisensor information fusion mode, has not been applied to the integrated navigation system as far as know.

    分层融合结构作为传感器信息融合的另一种重要模式,在组合导航系统中应用尚未见报道。

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  • This thesis focused on the algorithms of the pixel-level fusion process, including simple image fusion methods, multi-resolution image fusion methods and false color image fusion methods.

    本文重点研究像素级多传感器图像融合算法包括简单图像融合方法多分辨率图像融合算法彩色图像融合算法。

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  • The threat-assessment pattern analyzed the threat level to network security through multi-sensor fusion technology with the result of early warning analysis.

    威胁评估模块将预警分析结果(攻击预测)作为输入,利用多属性融合技术定量分析网络安全威胁程度

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  • The data fusion level module mainly handles the metrical data of multi-sensors and extracts the feature of faults.

    数据融合模块主要传感器测量信号进行处理提取出故障诊断特征信息。

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  • In pixel level image fusion, the multi-resolution image fusion algorithm is very important and widely utilized.

    像素图像融合中,多分辨率图像融合算法应用广泛且及其重要的一类算法。

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  • Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.

    本文提出了基于离散二进小波变换尺度边缘检测和图像融合方法,实现了特征图像融合。

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  • The researches in this thesis were partly supported by three national research grants and focused on the techniques and applications of pixel level multi-sensor image fusion.

    论文结合有关国家自然科学基金、航天技术创新基金等课题要求,针对像素传感器图像融合方法应用进行了深入研究。

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  • Then, a multi-level and multi-hierarchical blackboard model is brought forward, which can be applied to situation assessment of data fusion.

    然后提出一种用于数据融合态势评估部分分级多层黑板模型

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  • The data fusion level module mainly handles the metrical data of the multi-sensors, the soft metrical data and the working condition data of the system.

    数据模块主要处理传感器测量数据,测量数据系统干扰数据。

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  • In order to resolve the problem, the method of multi-sensor data fusion on decision level is submitted.

    为了解决干扰情况下地震动信号发射源定性问题,提出了在决策层的多传感器数据融合的识别方法

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  • We study the algorithms of feature-level fusion based on the viewpoint of dependence and independence multi-variant data analysis, respectively.

    首先从多元数据分析角度研究基于相关性多元数据分析基于独立性的多元数据分析的特征融合方法。

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  • We study the algorithms of feature-level fusion based on the viewpoint of dependence and independence multi-variant data analysis, respectively.

    首先从多元数据分析角度研究基于相关性多元数据分析基于独立性的多元数据分析的特征融合方法。

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