 3D spatial filtering using a 3D convolutional neural network, 3D CNN, framework improves the performance of hyperspectral image, HSI, classification, requiring fewer parameters than other deep learning-based methods and outperforming state-of-the-art methods on three real-world HSI data sets. This article was authored by Yingli, Hao Kuizhong, and Chongxian.