Anomaly Detection in Hyperspectral Image Using 3D-Convolutional Variational Autoencoder

Anomaly detection (AD) has become a hot topic in hyperspectral image (HSI) analysis. Anomalies are samples that are significantly different from the surrounding background in space or spectrum. However, the rich spectral-spatial features in HSI are not fully discovered by most traditional AD methods...

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Vydané v:	IEEE International Geoscience and Remote Sensing Symposium proceedings s. 2512 - 2515
Hlavní autori:	Zhang, Jingfa, Xu, Yang, Zhan, Tianming, Wu, Zebin, Wei, Zhihui
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 11.07.2021
Predmet:	Anomaly detection Anomaly detection (AD) convolutional Variational Autoencoder (CVAE) Decoding Detectors Feature extraction Geoscience and remote sensing hyperspectral image (HSI) Image reconstruction RX detector Training
ISSN:	2153-7003
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