Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
IEEE

DAGMN: A Geometric and Semantic Detail Aware Gaussian Mixture Deep Neural Network for Land-Use/Land-Cover Classification of High-Resolution Remote Sensing Imagery

Abstract: The deep learning-based semantic segmentation of high-resolution remote sensing imagery plays a crucial role in the field of land-cover monitoring. With the gradual improvement of the ...