SFFNet: Staged Feature Fusion Network of Connecting Convolutional Neural Networks and Graph Convolutional Neural Networks for Hyperspectral Image Classification

SFFNet: Staged Feature Fusion Network of Connecting Convolutional Neural Networks and Graph Convolutional Neural Networks for Hyperspectral Image Classification

The immense representation power of deep learning frameworks has kept them in the spotlight in hyperspectral image (HSI) classification. Graph Convolutional Neural Networks (GCNs) can be used to compensate for the lack of spatial information in Convolutional Neural Networks (CNNs). However, most GCN...

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Bibliographic Details
Main Authors: Hao Li, Xiaorui Xiong, Chaoxian Liu, Yong Ma, Shan Zeng, Yaqin Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
hyperspectral image classification
convolutional neural network
graph convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/14/6/2327

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https://www.mdpi.com/2076-3417/14/6/2327

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