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Multi-sensor decision level image fusion based on fuzzy theory and unsupervised FCM

机译:基于模糊理论和无监督FCM的多传感器决策级图像融合

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摘要

We present a multi-sensor decision level image fusion algorithm based on fuzzy theory. The main interest of this method is its high speed classification and efficient fusion of complementary information. FCM classifiers are used for classification of each sensor image, and the classification results are fused by our fusion rule. The originality of this work is to define the fusion rule for multi-sensor image classification. Applications to SAR, infrared and multi-spectral image fusion produce interesting results.
机译:我们提出了一种基于模糊理论的多传感器决策级图像融合算法。这种方法的主要目的是它的高速分类和补充信息的有效融合。 FCM分类器用于对每个传感器图像进行分类,分类结果根据我们的融合规则进行融合。这项工作的独创性是为多传感器图像分类定义融合规则。 SAR,红外和多光谱图像融合的应用产生了有趣的结果。

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