Joint Correlation Alignment-Based Graph Neural Network for Domain Adaptation of Multitemporal Hyperspectral Remote Sensing Images

Joint Correlation Alignment-Based Graph Neural Network for Domain Adaptation of Multitemporal Hyperspectral Remote Sensing Images

In this article, we propose a novel deep domain adaptation method based on graph neural network (GNN) for multitemporal hyperspectral remote sensing images. In GNN, graphs are constructed for source and target data, respectively. Then the graphs are utilized in each hidden layer to obtain features....

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Bibliographic Details
Main Authors: Wenjin Wang, Li Ma, Min Chen, Qian Du
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Classification
domain adaptation
graph neural network (GNN)
hyperspectral remote sensing
Online Access:https://ieeexplore.ieee.org/document/9368979/

Internet

https://ieeexplore.ieee.org/document/9368979/

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