A Machine-Learning-Assisted Classification Algorithm for the Detection of Archaeological Proxies (Cropmarks) Based on Reflectance Signatures

The detection of subsurface archaeological remains using a range of remote sensing methods poses several challenges. Recent studies regarding the detection of archaeological proxies like those of cropmarks highlight the complexity of the phenomenon. In this work, we present three different methods,...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Athos Agapiou, Elias Gravanis
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-05-01
coleção:	Remote Sensing
Assuntos:	archaeological proxies cropmarks formation subsurface archaeological remains detection machine learning spectral signatures
Acesso em linha:	https://www.mdpi.com/2072-4292/16/10/1705
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!