Chen-Xi Guo

A High-Efficiency Diffusion Model-Inspired Network for Pixel-Level Self-Supervised Hyperspectral Anomaly Change Detection

A novel hyperspectral anomaly CD method named efficient latent denoising-inspired network (ELDI-Net) is proposed, which employs a one-step manifold projection paradigm, achieving high computational efficiency while preserving the noise-robustness advantages of generative models.