Daniel Panangian

This work addresses the resulting mismatch in spatial resolution and proposes a DSM superresolution approach that enhances 5 m DSMs to 0.5 m resolution, using guidance from high-resolution spectral images, and highlights the potential of guided super-resolution with foundational image priors as a means of reconstructing high-resolution surface models.