Super-resolution is an approach derived from computer vision methods that aims to improve the quality of an image by applying algorithms and improving image sampling using what is called upsampling. This helps the image improve both in appearance and applicability in finding desired objects. This has particular utility for remote sensing aiming to better identify items on a given image.