Broadscale deep learning model for archaeological feature detection across the Maya area-Reference-Cited by-同舟云学术

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Broadscale deep learning model for archaeological feature detection across the Maya area

Published:2024-09 Issue: Volume:169 Page:106022
ISSN:0305-4403
Container-title:Journal of Archaeological Science
language:en
Short-container-title:Journal of Archaeological Science

Author:

Character Leila^ORCID,Beach Tim,Inomata Takeshi,Garrison Thomas G.,Luzzadder-Beach Sheryl,Baldwin J. Dennis,Cambranes Rafael,Pinzón Flory,Ranchos José L.

Publisher

Elsevier BV

Reference73 articles.

1. Soil constraints on northwest yucatan, Mexico: pedoarchaeology and Maya subsistence at chunchucmil;Beach;Geoarchaeology: Int. J.,1998

2. Ancient Maya wetland fields revealed under tropical forest canopy from laser scanning and multiproxy evidence;Beach,2019

3. Ancient Maya impacts on the Earth’s surface: An early Anthropocene anolog?;Beach;Quat. Sci. Rev.,2015

4. Editorial: human impacts on geomorphic systems and the legacy of Karl W. Butzer;Beach;Geomorphology,2019

5. The data explosion: tackling the taboo of automatic feature recognition in airborne survey data;Bennett;Antiquity,2014

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