Greedy Ensemble Hyperspectral Anomaly Detection

Greedy Ensemble Hyperspectral Anomaly Detection

Hyperspectral images include information from a wide range of spectral bands deemed valuable for computer vision applications in various domains such as agriculture, surveillance, and reconnaissance. Anomaly detection in hyperspectral images has proven to be a crucial component of change and abnorma...

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Bibliographic Details
Main Authors: Mazharul Hossain, Mohammed Younis, Aaron Robinson, Lan Wang, Chrysanthe Preza
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Journal of Imaging
Subjects:
hyperspectral images
anomaly detection
machine learning
stacking ensemble
image processing
remote sensing
Online Access:https://www.mdpi.com/2313-433X/10/6/131

Internet

https://www.mdpi.com/2313-433X/10/6/131

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