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Taghipour et al., 2021 - Google Patents

A bottom-up and top-down human visual attention approach for hyperspectral anomaly detection

Taghipour et al., 2021

Document ID
649199717366923309
Author
Taghipour A
Ghassemian H
Publication year
Publication venue
Journal of Visual Communication and Image Representation

External Links

Snippet

Hyperspectral anomaly detection (HAD) is a branch of target detection which tries to locate pixels that are spectrally or spatially different from their background. In this paper, a visual attention approach is developed to leverage HAD. Traditional HAD methods often try to …
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Classifications

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