 The proposed method is a novel approach for enhancing the spatial resolution of hyperspectral images, HSI's. It combines the spectral information of HSI's with the spatial information of multispectral images, MSI's, to create a higher resolution HSI. This is achieved by using a deep convolutional neural network, CNN, with two branches, one dedicated to the spectral features of HSI's and another to the spatial features of MSI's. These features are then combined and passed through fully connected layers before being used to generate the final HSI. The proposed method was evaluated on a virus and NMAP datasets and found to outperform existing methods. This article was authored by Jing Xiang Yang, Yong Chang Zhao, and Jonathan Chang Wai Chan.