SSC-SFN: spectral-spatial non-local segment federated network for hyperspectral image classification with limited labeled samples

SSC-SFN: spectral-spatial non-local segment federated network for hyperspectral image classification with limited labeled samples

ABSTRACTHyperspectral image (HSI) classification methods based on deep learning (DL) have performed well in numerous investigations. Although many modified superpixel-wise neural networks are utilized to enhance spatial information, their ability to mine spectral information in graph structures is i...

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Bibliographic Details
Main Authors: Quanshan Gao, Taixia Wu, Shudong Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:International Journal of Digital Earth
Subjects:
Hyperspectral image
segment anything
convolutional neural network
graph convolutional network
federated network
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2023.2300319

Internet

https://www.tandfonline.com/doi/10.1080/17538947.2023.2300319

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