Unsupervised Generative Adversarial Network with Background Enhancement and Irredundant Pooling for Hyperspectral Anomaly Detection

Unsupervised Generative Adversarial Network with Background Enhancement and Irredundant Pooling for Hyperspectral Anomaly Detection

Lately, generative adversarial networks (GAN)-based methods have drawn extensive attention and achieved a promising performance in the field of hyperspectral anomaly detection (HAD) owing to GAN’s powerful data generation capability. However, without considering the background spatial features, most...

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Bibliographic Details
Main Authors: Zhongwei Li, Shunxiao Shi, Leiquan Wang, Mingming Xu, Luyao Li
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
generative adversarial networks (GAN)
hyperspectral anomaly detection (HAD)
background spatial feature enhancement (BE)
irredundant pooling (IP)
Online Access:https://www.mdpi.com/2072-4292/14/5/1265

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https://www.mdpi.com/2072-4292/14/5/1265

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