Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral Anomaly Detection

Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral Anomaly Detection

Whether or not a hyperspectral anomaly detector is effective is determined by two crucial issues, anomaly detectability and background suppressibility (BS), both of which are very closely related to two factors, the datasets used for a selected hyperspectral anomaly detector and detection measures u...

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Bibliographic Details
Main Authors: Chein-I Chang, Shuhan Chen, Shengwei Zhong, Yidan Shi
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
3D receiver operating characteristics analysis
anomaly detectability
background suppressibility
constrained energy minimization anomaly detector
dummy variable trick
effective anomaly space
Online Access:https://www.mdpi.com/2072-4292/16/1/135

Internet

https://www.mdpi.com/2072-4292/16/1/135

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