Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection
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DOI: 10.1109/tim.2022.3222499
Abstract: Hyperspectral anomaly detection (HAD) aims at distinguishing anomalies from background in an unsupervised manner. Autoencoder (AE) and its variant-based methods have achieved promising detection performance in HAD. However, most existing methods neglect to exploit the… read more here.
Keywords: hyperspectral anomaly; spectral difference; detection; anomaly detection ... See more keywords