Locality Constrained Low Rank Representation and Automatic Dictionary Learning for Hyperspectral Anomaly Detection

Locality Constrained Low Rank Representation and Automatic Dictionary Learning for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) as a special target detection can automatically locate anomaly objects whose spectral information are quite different from their surroundings, without any prior information about background and anomaly. In recent years, HAD methods based on the low rank represen...

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Bibliographic Details
Main Authors: Ju Huang, Kang Liu, Xuelong Li
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
hyperspectral image
anomaly detection
low rank representation
locality constraint
dictionary learning
Online Access:https://www.mdpi.com/2072-4292/14/6/1327

Internet

https://www.mdpi.com/2072-4292/14/6/1327

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