Deep learning methodologies have demonstrated considerable effectiveness in hyperspectral anomaly detection (HAD). However. the practicality of deep learning-based HAD in real-world applications is impeded by challenges arising from limited labeled data. large-scale hyperspectral images (HSIs). https://www.itsmajorlook.com/