Hyperspectral Anomaly Detection with Guided Autoencoder

Recently, autoencoder-based hyperspectral anomaly detection methods have demonstrated excellent performance on hyperspectral images (HSIs). The autoencoder (AE) can simultaneously reconstruct both the anomaly targets and background, but the lack of prior information limits ability to detect anomalie...

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Bibliographic Details

Published in:	IEEE transactions on geoscience and remote sensing Vol. 60; p. 1
Main Authors:	Xiang, Pei, Ali, Shahzad, Jung, Soon Ki, Zhou, Huixin
Format:	Journal Article
Language:	English
Published:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Anomalies Anomaly detection autoencoder Detection Feature extraction guide image Hyperspectral image Hyperspectral imaging Image reconstruction Matrix decomposition Methods Multilayers Object detection Representations Sparse matrices
ISSN:	0196-2892, 1558-0644
Online Access:	Get full text
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