Titre :

From field drawings to artifact data extraction using an object oriented methodology

Auteur(s) :

Peudon, Floriane [Auteur correspondant]
Histoire, Archéologie et Littérature des Mondes Anciens - UMR 8164 [HALMA]
Masson, Eric [Auteur]
Territoires, Villes, Environnement & Société - ULR 4477 [TVES]
Lamotte, Agnes [Auteur]
Histoire, Archéologie et Littérature des Mondes Anciens - UMR 8164 [HALMA]

Titre de la manifestation scientifique :

Digital crossroad

Organisateur(s) de la manifestation scientifique :

CAA, Cyprus University of Technology

Ville :

Cambridge (GB)

Pays :

Royaume-Uni

Date de début de la manifestation scientifique :

2021-06-21

Mot(s)-clé(s) en anglais :

Archaeobia
Geographic Information System
Archaeological Computer-Aided Design
Excavation data consolidation
Cagny-l'Épinette

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

Archaeological excavations can span several years or even decades and the progressive data acquisition is often subject to changes in data recording protocols over time. Over the 30 years of excavation at the Acheulean ...
Lire la suite >Archaeological excavations can span several years or even decades and the progressive data acquisition is often subject to changes in data recording protocols over time. Over the 30 years of excavation at the Acheulean site of Cagny-l'Épinette (Somme Valley, France), data recording and management have progressively moved towards digital recording techniques. Thus, the excavation is currently documented through a combination of both digital and analog legacy data. The aim of this research project is therefore to collate these complex archives into a unique, coherent and consolidated dataset. As part of this research, the software ArcGIS was paired with the OBIA software eCognition with the purpose of producing interoperable quantitative data. Our OBIA-GIS protocol is a standardized data production tool that enables reliable digitization, archiving and morphometric documentation of collections of artifacts excavated over a very long period of time with field teams or analog methods and digital systems that have evolved significantly over time. This protocol was applied to CAD versions of the manual field drawings to enhance the archaeological dataset with automatedmeasurements of the artifacts. Thus, this research is part of Archaeobia, the methodological concept of object-oriented image analysis applied to archaeology proposed by Lamotte and Masson (2016), who first applied an OBIA processing to archaeological artifacts (Davis 2018; Magnini and Bettineschi 2019). The results are that the OBIA-GIS approach allows turning CAD documents into robust, enriched datasets adequate for geostatistical analyses. With one single algorithm, eCognition measures multiple descriptive attributes, which would need complex work-flows with other software or could not be calculated manually. These new spatial (Cartesian coordinates and orientations) and morphometric (dimensions and geometric indices) attributes of the OBIA modeled artifacts can be analyzed in any GIS interface. The outputs are exported in shapefile format with an accuracy of 100% compared to the CAD documents, due to the initial digitalization of the field drawings into binary images(i.e., with only two colours) from which eCognition can unambiguously extract image objects.This presentation will highlight the potential of the ArchaeOBIA concept as a contribution to the toolbox of digital humanities applied to artifact descriptive analysis and modeling as well as archive data curation in archaeology.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Territoires, Villes, Environnement & Société (TVES) - ULR 4477

Source :

Harvested from HAL