Graph-based semisupervised hyperspectral image (HSI) classification methods have obtained extensive attention. In graph-based methods, a graph is first constructed, and then the label propagation is ...

Graph representation learning has re-emerged as a fascinating research topic due to the successful application of graph convolutional networks (GCNs) for graphs and inspires various downstream tasks, ...

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Methods: Taking the Dahongshan Copper Mine (800–1000 m depth) as a case study, this paper proposes an enhanced design methodology for structural parameters of deep open stopes to address the ...