Dual-View Hyperspectral Anomaly Detection via Spatial Consistency and Spectral Unmixing

Dual-View Hyperspectral Anomaly Detection via Spatial Consistency and Spectral Unmixing

Anomaly detection is a crucial task for hyperspectral image processing. Most popular methods detect anomalies at the pixel level, while a few algorithms for anomaly detection only utilize subpixel level unmixing technology to extract features without fundamentally analyzing the anomalies. To better...

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Bibliographic Details
Main Authors: Jingyan Zhang, Xiangrong Zhang, Licheng Jiao
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
hyperspectral images
anomaly detection
spatial consistency
spectral unmixing
manifold constraint
Online Access:https://www.mdpi.com/2072-4292/15/13/3330

Internet

https://www.mdpi.com/2072-4292/15/13/3330

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