Structured Background Modeling for Hyperspectral Anomaly Detection

Structured Background Modeling for Hyperspectral Anomaly Detection

Background modeling has been proven to be a promising method of hyperspectral anomaly detection. However, due to the cluttered imaging scene, modeling the background of an hyperspectral image (HSI) is often challenging. To mitigate this problem, we propose a novel structured background modeling-base...

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Bibliographic Details
Main Authors: Fei Li, Lei Zhang, Xiuwei Zhang, Yanjia Chen, Dongmei Jiang, Genping Zhao, Yanning Zhang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
background modeling
block-diagonal structure
spatial-spectral dictionary learning
anomaly detection
hyperspectral imagery
Online Access:http://www.mdpi.com/1424-8220/18/9/3137

Internet

http://www.mdpi.com/1424-8220/18/9/3137

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