A Hierarchical Graph-Enhanced Transformer Network for Remote Sensing Scene Classification

A Hierarchical Graph-Enhanced Transformer Network for Remote Sensing Scene Classification

Remote sensing scene classification (RSSC) is essential in Earth observation, with applications in land use, environmental status, urban development, and disaster risk assessment. However, redundant background interference, varying feature scales, and high interclass similarity in remote sensing ima...

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Bibliographic Details
Main Authors: Ziwei Li, Weiming Xu, Shiyu Yang, Juan Wang, Hua Su, Zhanchao Huang, Sheng Wu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
graph neural network (GNN)
remote sensing scene classification (RSSC)
spatial structural feature
transformer
Online Access:https://ieeexplore.ieee.org/document/10742489/
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https://ieeexplore.ieee.org/document/10742489/

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