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Jiang et al., 2021 - Google Patents

E2E-LIADE: End-to-end local invariant autoencoding density estimation model for anomaly target detection in hyperspectral image

Jiang et al., 2021

Document ID
12296423678949488513
Author
Jiang K
Xie W
Lei J
Li Z
Li Y
Jiang T
Du Q
Publication year
Publication venue
IEEE Transactions on Cybernetics

External Links

Snippet

Hyperspectral anomaly target detection (also known as hyperspectral anomaly detection (HAD)] is a technique aiming to identify samples with atypical spectra. Although some density estimation-based methods have been developed, they may suffer from two issues: 1) …
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