IEEE

SSTGCNs: Spectral–Spatial–Temporal Long-Range Dependencies Joint Feature Extraction With Graph Convolutional Networks for Adaptive Change Detection

Abstract: Hyperspectral image change detection plays an important role in ground observation tasks, making full use of the rich spectral and spatial information in the bitemporal hyperspectral to ...
IEEE

Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT

Abstract: The Internet of Things (IoT) collects large volumes of diverse data, with graph data as a critical component, and extensively utilizes Federated Graph Learning (FGL) to process this data ...