CE-RX: A Collaborative Cloud-Edge Anomaly Detection Approach for Hyperspectral Images

Due to the constrained processing capabilities of real-time detection techniques in remote sensing applications, it is often difficult to obtain detection results with high accuracy in practice. To address this problem, we introduce a new real-time anomaly detection algorithm for hyperspectral image...

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Vydáno v:	Remote sensing (Basel, Switzerland) Ročník 15; číslo 17; s. 4242
Hlavní autoři:	Wang, Yunchang, Cai, Jiang, Zhou, Junlong, Sun, Jin, Xu, Yang, Zhang, Yi, Wei, Zhihui, Plaza, Javier, Plaza, Antonio, Wu, Zebin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.09.2023
Témata:	Accuracy Algorithms Anomalies anomaly detection Cloud computing cloud–edge collaboration Collaboration Comparative analysis Data acquisition data collection Data transmission detectors Edge computing hyperspectral hyperspectral imagery Hyperspectral imaging Image processing information processing Methods Multispectral photography Real time real-time detection Remote sensing Sensors Technology application China
ISSN:	2072-4292, 2072-4292
On-line přístup:	Získat plný text
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