Pixel-associated autoencoder for hyperspectral anomaly detection

Pixel-associated autoencoder for hyperspectral anomaly detection

Autoencoders (AEs) are central to hyperspectral anomaly detection, given their impressive efficacy. However, the current methodologies often neglect the global pixel similarity of the hyperspectral image (HsI), thereby limiting reconstruction accuracy. This study introduces an innovative pixel-assoc...

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Bibliographic Details
Main Authors: Pei Xiang, Shahzad Ali, Jiajia Zhang, Soon Ki Jung, Huixin Zhou
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Anomaly detection
Autoencoder (AE)
Hyperspectral image (HsI)
Pixel similarity
Similarity metric
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224001705

Internet

http://www.sciencedirect.com/science/article/pii/S1569843224001705

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