Abstract: Data quality is essential for training deep learning models, and recently, the challenge of noisy labels in hyperspectral image (HSI) classification has attracted considerable attention.

Low-quality labels can distort the modeling process associated with label-induced loss, resulting in decreased performance. We propose a novel cross-domain image classification method, namely, robust ...

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