engineer-twinning2025-01-03T10:44:30+02:00A joint publication from Elia Gravani and Athos Agapiou at the IEEE Access was realised.
Abstract. Detection of buried archaeological remains based on identification of archaeological proxies, such as cropmarks, has been widely used. Nevertheless, physically-based models for such archaeological prospection surveys are still missing from the literature. In this work we present a spectral classification criterion procedure for the detection of buried archaeological remains (cropmarks) using remote sensing techniques, in particular top-of-canopy hyperspectral data. The criterion is built by using...