Return
Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection
DOI:10.1016/j.jag.2025.104662.png)
Abstract
En 中文
• This work proposes a wavelet-based diffusion model for hyperspectral anomaly detection. • This work combines the spatial and frequency dual-domain features. • This work introduces the negative log-likelihood noise loss function. • Extensive experiments validate robustness and cross-domain adaptability.
Keywords:
Hyperspectral anomaly detection
Diffusion models
Wavelet transform
Remote sensing
Journal
IF:
8.6
Papers:
5.1K
Citations:
2.4W
Organization
No organization information available

