Abstract
Here we describe and mitigate issues of optical aberrations related to wavelength-dependent blur caused by miniaturization in hyperspectral pushbroom image sensors, which degrade spatial resolution and limit their usefulness. Panchromatic sharpening algorithms are modified to enhance the spatial resolution of acquired hyperspectral image cubes, explicitly focusing on optical aberrations associated with pushbroom scanners. The study explores algorithms for component substitution and multi-resolution analysis, such as modulation and Laplacian pyramids, adapting them for single image cubes while considering the characteristics of miniaturized hyperspectral imagers. Simulations demonstrate the method’s effectiveness in improving the spatial quality of images obtained from miniaturized hyperspectral imagers, expanding their potential applicability. The study evaluates the method using metrics like the BRISQUE score and utilizes data from the HYPSO-1 CubeSat platform.