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cs.CV2025
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Weighted Intermediate Feature Divergence
Chun Liu, Bingqian Zhu, Tao Xu +5
Deep Neural Networks (DNNs) are vulnerable to adversarial attacks, which pose security challenges to hyperspectral image (HSI) classification based on DNNs. Numerous adversarial at…
cs.CV2024★ 1 cited
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image Classification
Chun Liu, Longwei Yang, Dongmei Dong +4
Few-shot hyperspectral image classification aims to identify the classes of each pixel in the images by only marking few of these pixels. And in order to obtain the spatial-spectra…
cs.CV2023
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image Classification
Chun Liu, Longwei Yang, Zheng Li +4
Cross-domain few-shot hyperspectral image classification focuses on learning prior knowledge from a large number of labeled samples from source domains and then transferring the kn…