Hyperspectral Anomaly Detection Through Sparse Representation With Tensor Decomposition-Based Dictionary Construction and Adaptive Weighting

Hyperspectral Anomaly Detection Through Sparse Representation With Tensor Decomposition-Based Dictionary Construction and Adaptive Weighting

Sparse representation-based methods, as an important branch of anomaly detection (AD) technologies for hyperspectral imagery (HSI), have attracted extensive attention. How to construct an overcomplete background dictionary containing all background categories and excluding anomaly signatures is the...

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Bibliographic Details
Main Authors: Yixin Yang, Shangzhen Song, Delian Liu, Jonathan Cheung-Wai Chan, Jinze Li, Jianqi Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
background dictionary construction
hyperspectral imagery
sparse representation
tensor representation
Tucker decomposition
Online Access:https://ieeexplore.ieee.org/document/9068263/

Internet

https://ieeexplore.ieee.org/document/9068263/

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