most citedLow-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection

3 citations · 3 across the 1 of their papers we have counts for

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eess.IV2024★ 3 cited

Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection

Chenyu Li, Bing Zhang, Danfeng Hong +2

Current hyperspectral anomaly detection (HAD) benchmark datasets suffer from low resolution, simple background, and small size of the detection data. These factors also limit the p…