 3D convolutional neural network, 3D, CNN, framework is proposed for accurate hyperspectral image, HSI, classification, which views the HSI cube data altogether without relying on any pre-processing or post-processing, extracting the deep spectral spatial combined features effectively and requires fewer parameters than other deep learning-based methods. This article was authored by Ing Lee, Huk Wei Zhang, and Chang Shen.