GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification
In recent years, the use of convolutional neural networks (CNNs) and graph neural networks (GNNs) to identify hyperspectral images (HSIs) has achieved excellent results, and such methods are widely used in agricultural remote sensing, geological exploration, and marine remote sensing. Although many...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2023.2210310 |