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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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Autori principali: Jingyan Zhang, Xiangrong Zhang, Licheng Jiao
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2023-06-01
Serie:Remote Sensing
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Accesso online:https://www.mdpi.com/2072-4292/15/13/3330
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