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图形卷积网络和卷积神经网络的双分支融合,用于高光谱图像分类

Pan Yang1,2, Xinxin Zhang1,2

  • 1College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
概括

一个新的双分支融合网络 (DFGCN) 通过结合图形卷积网络 (GCN) 和卷积神经网络 (CNN) 来改进超谱图像分类 (HSIC). 这种方法提高了效率和准确性,克服了数据限制和计算挑战.

关键词:
卷积神经网络的神经网络.图形卷积网络的图形卷积网络.超光谱图像分类的分类方法多重合并信息的信息.多个尺度的超像素细分.

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