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分层融合
相关语句
  hierarchical fusion
    Hierarchical fusion technique for multi-sensor images
    多源遥感图像的分层融合研究
短句来源
    4. For those inverse problems with multiple observation processes, we present a distributed hierarchical fusion algorithm.
    4.针对多源观测逆问题的求解,在兼顾算法的复杂度和估计精度的情况下,提出一种多尺度分布式分层融合算法;
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
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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.
      


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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