Mamba-Enhanced Background Suppression Diffusion Model for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) faces a significant challenge in separating scarce, small and subtle anomalous targets from complex backgrounds. For typical HAD approaches, background suppression is realized by building statistical or representational models. In contrast, leveraging generative...

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Dettagli Bibliografici

Autori principali:	Dan Sun, Shengwei Zhong, Chen Gong
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Background suppression diffusion model hyperspectral anomaly detection (HAD) Mamba weighted loss function
Accesso online:	https://ieeexplore.ieee.org/document/11354461/
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