Abstract: To address the issue of inadequate feature information extraction by single convolutional neural networks in high-noise environments, which leads to suboptimal diagnostic performance, this ...

Abstract: In recent years, deep learning-based methods have attracted considerable attention in hyperspectral image (HSI) hyperspectral unmixing (HU) tasks due to their robust feature extraction and ...