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A Cooperative Fusion Method of Multi-sensor Image Based on Grey Relational Analysis

机译:基于灰色关系分析的多传感器图像的协作融合方法

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Current multi-sensor image fusion algorithms have difficulties working at many different scenes. In this paper, a cooperative fusion algorithm based on the grey correlation theory and automatic evaluation feedback is proposed in order to achieve better fusion results. A synergetic mechanism is introduced to adjust the algorithm parameters for better fusion results. Experiments show that the collaborative integration of the results is consistent with the subjective evaluation of human eyes.
机译:目前的多传感器图像融合算法在许多不同场景中运行困难。本文提出了一种基于灰色相关理论和自动评估反馈的协作融合算法,以实现更好的融合结果。引入协同机制以调整算法参数以获得更好的融合结果。实验表明,结果的协同整合与人眼的主观评价一致。

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