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A High-Efficiency Diffusion Model-Inspired Network for Pixel-Level Self-Supervised Hyperspectral Anomaly Change Detection
Hyperspectral image change detection (CD) has garnered significant attention in the field of remote sensing. A critical task within CD is anomaly CD. Current generative anomaly CD methods, such as diffusion models, typically rely on computationally expensive iterative sampling to extract features, severely limiting the...