Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification
Recently, graph convolutional networks (GCNs) has attracted wide attention on the wetland classification with limited samples. However, traditional approaches of superpixel generation rely on artificial experience and the spatial information is ignored during the construction of graph structure, whi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223003096 |