Recent advances in the application of deep learning models for spectral super-resolution have demonstrated great potential. However, these methods only work in spectral-spatial domain while rarely ...

Existing deep learning-based hyperspectral anomaly detection methods often overlook frequency domain features, hindering the ability to effectively distinguish between background and anomalies.