Hyperspectral Image Classification With Adversarial Attack
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DOI: 10.1109/lgrs.2021.3122170
Abstract: The performance of a neural network is highly dependent on the labeled samples. However, the labeled samples are primarily clean, which prevents the network from capturing the features of the samples near the decision boundary.… read more here.
Keywords: adversarial attack; hyperspectral image; classification; boundary adversarial ... See more keywords