【摘要】 介绍了图像融合的框架层次结构,以及像素层、特征层和决策层3层图像融合的方法及其相互关系。分析了图像融合平台的设计与实现方法,选择基于DS证据理论和模糊Kohonen神经网络聚类算法,进行了适当改进,并加以验证。结果表明,模糊Kohonen神经网络聚类算法的聚类精度和聚类速度都要优于传统算法。更多还原

【Abstract】 Data fusion is an effective tool to process multi-source remote sensing images.The data fusion framework and configuration comprising of pixels-level,feature-level and decision-level fusions in detail,and their relationships were introduced.The design and implementation methods of data fusion platform were analyzed,and DS evidence theory based and fussy Kohonen neural network based cluster algorithm as a modified testing method were selected.The result shows that the cluster accuracy and speed of fuzzy Kohonen neural network cluster algorithm is better than that of traditional algorithms.更多还原