GLLR-HAD: Global-local low-rank integration for hyperspectral image anomaly detection

Abstract Hyperspectral imaging (HSI), with its rich spectral and spatial information, offers unique advantages for anomaly detection. However, existing methods often struggle to simultaneously model global structures and local discriminative features, which hampers their ability to detect structural...

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Bibliographic Details

Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Yu Bai, Yanling Zhang, Lili Zhang, Tan Zhao
Format:	Article
Language:	English
Published:	Springer 2025-07-01
Subjects:	Hyperspectral anomaly detection Low-rank prior Global-local feature interaction Multi-scale autoencoder
Online Access:	https://doi.org/10.1007/s44443-025-00118-y