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Dual-Coupled CNN-GCN-Based Classification for Hyperspectral and LiDAR Data
Deep learning techniques have brought substantial performance gains to remote sensing image classification. Among them, convolutional neural networks (CNN) can extract rich spatial and spectral features from hyperspectral images in a short-range region, whereas graph convolutional networks (GCN) can...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371133/ https://www.ncbi.nlm.nih.gov/pubmed/35957291 http://dx.doi.org/10.3390/s22155735 |