arrow
Return

Wavelet-based diffusion with spatial-frequency attention for hyperspectral anomaly detection

delete2025-06-24
delete0
PRE
AI
S
Sitian Liu
朱春丽 (Chunli Zhu)
L
Lintao Peng
X
Xinyue Su
L
Lianjie Li
G
Guanghui Wen
DOI:10.1016/j.jag.2025.104662delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

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

International Journal of Applied Earth Observation and Geoinformation cover
International Journal of Applied Earth Observation and Geoinformation
IF:
8.6
Papers:
5.1K
Citations:
2.4W

Organization

No organization information available