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分层融合
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  hierarchical fusion
    The Properties for Hierarchical Fusion of Multisensor Data
    多传感器数据分层融合的性质
短句来源
    Hierarchical fusion technique for multi-sensor images
    多源遥感图像的分层融合研究
短句来源
    A Study of Performance of Multi-sensor Hierarchical Fusion Algorithm with Feedback
    多传感器反馈分层融合算法性能研究
短句来源
    So another algorithm, namely non pyramid hierarchical fusion scheme is presented in order to get rid of this defect.
    而非金字塔式分层融合技术则避免了金字塔法的这种缺陷 ,能得到更好的融合图像
短句来源
    In the paper, a new method of data fusion in multi sensor multi target(MSMT) tracking, i.e. a generalized algorithm for hierarchical fusion, which is especially suited to the distributed MSMT tracking system,is presented and described. A neural network structure and algorithm for the MSMT tracking fusion is studied. The simulation of the neural network method is discussed.
    提出了适合分布式多传感器多目标 (MSMT)数据融合估计算法 ,对这种推广的分层融合估计算法进行了数学推导和描述 ,研究了利用神经网络进行MSMT跟踪融合的网络结构和算法 ,进行了计算机模拟仿真。
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  “分层融合”译为未确定词的双语例句
    , the result indicates that the performance of the algorithm with complete feedback is not so good as that of the algorithm with partial feedback and moreover, in the case of complete feedback, the increment of data rate does not improve the performance.
    于近期研究了两传感器非实时分层融合算法的稳态性能 ,结果表明全反馈条件下的融合性能要劣于部分反馈 ,特别当过程噪声较大时提高通信频率并不能改善全反馈算法的性能。
短句来源
    In the research, more attention is paid to the effect of the number of sensors on the steady performance of the algorithm with different feedback mechanism.
    与上述研究不同 ,本文重点考察了融合系统中传感器数目对非实时有反馈分层融合算法性能的影响。
短句来源
    Exact estimation covariance matrix for multiple sensors fusion system, in which HF algorithm with complete feedback is adopted and sensor number can be arbitrary, is derived.
    推导得出了传感器数目为任意值的全反馈非实时分层融合算法的真实稳态估计误差协方差矩阵的计算公式;
短句来源
    The relationship between sensor number and steady performance of HF algorithm with partial and complete feedback is evaluated for the first time and results we obtain bring the recent achievement about HF algorithm to completion.
    首次分析了传感器数目与全反馈和部分反馈非实时分层融合算法稳态性能的关系,所得结论补充、完善了近期有关该算法的研究成果;
短句来源
    Under the same incomplete data rate, performances of BLUE algorithm and HF algorithm with partial feedback are compared for the first time.
    首次研究了非实时最优线性无偏融合算法的稳态性能与同等条件下非实时部分反馈分层融合算法稳态性能的关系。
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  hierarchical fusion
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
      
All relevés were clustered, using a hierarchical fusion technique.
      
As examples we will discuss a flat fusion and a two-step hierarchical fusion.
      
For that reason for every object a certain hierarchical fusion strategy can be defined.
      
In the hierarchical fusion architecture, we could not demonstrate the need for adaptive fusion as clearly.
      
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  hierarchical image fusion
A hierarchical image fusion scheme is presented that preserves those details from the input images that are most relevant to visual perception.
      


The mathematical and physical properties of an algorithm for hierarchical fusion proposed in [1] are studied in this paper. First, the concepts for innovation and gain of fusing tracks are proposed. Second, their mathematical and physical properties are analyzed and proved.Final, we show that the hierarchical fusion estimate is a linear, unbiased, minimum variance estimate based on filter and prediction of each sensor. These properties reveal the essence of the hierarchical fusion eseianate in [1] and have of...

The mathematical and physical properties of an algorithm for hierarchical fusion proposed in [1] are studied in this paper. First, the concepts for innovation and gain of fusing tracks are proposed. Second, their mathematical and physical properties are analyzed and proved.Final, we show that the hierarchical fusion estimate is a linear, unbiased, minimum variance estimate based on filter and prediction of each sensor. These properties reveal the essence of the hierarchical fusion eseianate in [1] and have of great value for solving problem on multisensor multitarget.

本文主要研究文[1]提出的分层融合算法的数学、物理性质.定义了分层融合估计中的融合航迹的新息和融合增益,分析并证明了它们所具有的数学、物理性质,最后得出并证明该分层融合估计,就是基于各传感器的滤波及其预测的线性无偏最小方差估计的结论.这进一步揭示了分层融合估计的本质,并对正确使用该算法解决多传感器多目标跟踪问题有参考意义.

This paper discusses the practical problems of multisensor systems, in which the system errors are unknown and the exponentially attenuated measurement noises are self correlated and are cross correlated with state noises.The authors present two algorithms which are named extended algorithm of multisensor decentralized data fusion and adaptive algorithm of multisensor data fusion respectively.The real time estimations of the state can be obtained by using one of the algorithms. The two algorithms have theoretical...

This paper discusses the practical problems of multisensor systems, in which the system errors are unknown and the exponentially attenuated measurement noises are self correlated and are cross correlated with state noises.The authors present two algorithms which are named extended algorithm of multisensor decentralized data fusion and adaptive algorithm of multisensor data fusion respectively.The real time estimations of the state can be obtained by using one of the algorithms. The two algorithms have theoretical significance and practical value for data fusion of guidance radar group in air defense systems.

本文对工程实际中多传感器系统线性化后存在未知的系统误差,测量噪声具有指数衰减相关,且与状态噪声相关的问题,提出了推广的多传感器数据的分层融合算法和多传感器自适应数据融合算法,给出了计算流程图,可以对目标的状态进行实时估计,这两种算法对防空导弹体系制导雷达组网数据融合具有理论意义与实用价值。

Image fusion is preferrable to ATR. Pixel level fusion algorithms can be realized simply. One scheme is for contrast or ratio of low pass pyramid, and another one is for multi scale contrast enhancement, both being based on constructing pyramid. The experimental results indicate that the latter is more powerful than the former. But the algorithms based on pyramid scheme are affected with effect of frequency aliasing due to sub sample and the noise is added to fused image. So another algorithm, namely non...

Image fusion is preferrable to ATR. Pixel level fusion algorithms can be realized simply. One scheme is for contrast or ratio of low pass pyramid, and another one is for multi scale contrast enhancement, both being based on constructing pyramid. The experimental results indicate that the latter is more powerful than the former. But the algorithms based on pyramid scheme are affected with effect of frequency aliasing due to sub sample and the noise is added to fused image. So another algorithm, namely non pyramid hierarchical fusion scheme is presented in order to get rid of this defect.

为了更有效地实现目标识别 ,采用了像素级图像融合方法 ,该方法简单 ,易于实现 ,其中低通对比度金字塔融合和多尺度对比度增强融合采用金字塔法实现 ,实验结果显示多尺度对比度增强的融合效果优于前者 .但采用金字塔法有一个不可避免的缺陷 ,就是在做子采样时由于频率叠混效应而可能引进噪声 .而非金字塔式分层融合技术则避免了金字塔法的这种缺陷 ,能得到更好的融合图像

 
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