Abstract: The core challenge of hyperspectral compressive imaging is to reconstruct the three-dimensional hyperspectral image from two-dimensional compressed measurements. While recent deep ...
Abstract: Transformer-based methods have a great ability to model nonlocal interactions between spectral and spatial information, while the local features are easily ignored. Graph convolutional ...