Robust hyperspectral image classification using generative adversarial networks
Z Yu, W Cui - Information Sciences, 2024 - Elsevier
Abstract This paper introduces Sill-Rgan, a novel Generative Adversarial Network (GAN)
designed to improve hyperspectral image (HSI) classification under varying lighting …
designed to improve hyperspectral image (HSI) classification under varying lighting …
PatchMix: patch-level mixup for data augmentation in convolutional neural networks
Y Hong, Y Chen - Knowledge and Information Systems, 2024 - Springer
Convolutional neural networks (CNNs) have demonstrated impressive performance in fitting
data distribution. However, due to the complexity in learning intricate features from data …
data distribution. However, due to the complexity in learning intricate features from data …