The Laser Molecular Imaging and Machine Learning laboratory team published an article titled “Methods for merging hyperspectral and multispectral images based on pixel-by-pixel spectral transformations and cycle consistency” in the journal “Optics and Spectroscopy”. (К2).
Two approaches to fusion of hyperspectral and multispectral images were presented. The first approach is based on the WMatrixGenerator module, which generates pixel-by-pixel spectral transformation matrices with quadratic correction. The second approach utilizes the HSIMSICycleGAN architecture with cycle consistency and Подробнее







