ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning

Detecting unexpected objects (anomalies) in real time has great potential for monitoring, managing, and protecting the environment. Hyperspectral line-scan cameras are a low-cost solution that enhances confidence in anomaly detection over red-green-blue (RGB) and multispectral imagery. However, exis...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 63; s. 1 - 17
Hlavní autori:	Garske, Samuel, Evans, Bradley, Artlett, Christopher, Wong, K. C.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptability Adaptive algorithms Algorithms Anomalies Anomaly detection Australia Cameras Computers Covariance matrices Datasets Distortion Drones Edge computing Environmental protection Field tests hyperspectral Hyperspectral imaging line scanning Real time Real-time systems Reviews Robustness Satellites Scanning Small satellites unsupervised learning
ISSN:	0196-2892, 1558-0644
On-line prístup:	Získať plný text
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