[Formula Omitted]T: Deep Denoising Dictionary Tensor for Hyperspectral Anomaly Detection

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 18; pp. 3713 - 3727
• Main Authors: Shen, Qiangqiang, Liu, Zonglin, Wang, Hanzhang, Xu, Yanhui, Chen, Yongyong, Liang, Yongsheng
• Format: Journal Article
• Language: English
• Published: Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2025; IEEE
• Subjects: Anomalies; Deep denoising; Dictionaries; Glossaries; hyperspectral anomaly detection (HAD); Hyperspectral imaging; low-rank representation (LRR); low-rank tensor; Noise reduction; Pixels; Representations; Spatial data; Tensors

Hyperspectral anomaly detection (HAD) approaches with tensor low-rank representation (TLRR) have shown engaging performance, which are capable of capturing abundant spectral and spatial information and, hence, extracting sparse anomalies from the low-rank background without ruining the intrinsic geo...