Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...
Abstract: Polarimetric Synthetic Aperture Radar (PolSAR) holds significant potential for post-disaster building damage assessment. However, conventional methods often rely on simple change indices ...
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