Attention-Aware Spectral Difference Representation for Hyperspectral Anomaly Detection

Attention-Aware Spectral Difference Representation for Hyperspectral Anomaly Detection

Hyperspectral Anomaly Detection (HAD) aims to detect the pixel or target whose spectral characteristics are significantly different from the surrounding pixels or targets. The effectiveness of reconstructing the background model is an essential element affecting the improvement of the HAD performanc...

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Bibliographic Details
Main Authors: Wuxia Zhang, Huibo Guo, Shuo Liu, Siyuan Wu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
anomaly detection
hyperspectral image
attention mechanism
generative adversarial network
convolutional auto-encoder
Online Access:https://www.mdpi.com/2072-4292/15/10/2652

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https://www.mdpi.com/2072-4292/15/10/2652

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