engineer-twinning2024-03-28T10:23:21+02:00A joint publication has been accepted in Preprints dealing with the formation of cropmarks, a method widely used for the detection of shallow archaeological remains. Find more here: Agapiou A., Gravanis. E., 2024, A machine learning-assisted classification algorithm for the detection of archaeological proxies (cropmarks) based on reflectance signatures, Doi: 10.20944/preprints202403.1045.v1
Abstract: Detection of subsurface archaeological remains using a range of remote sensing methods, poses several challenges until today. Recent studies regarding the detection of archaeological proxies like those of cropmarks...