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Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers

Haburaj, Vincent and Krause, Jan and Pless, Sebastian and Waske, Björn and Schütt, Brigitta (2019) Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers. Journal of Field Archaeology, 44 (8), pp. 538-549. Taylor & Francis. DOI: 10.1080/00934690.2019.1656321 ISSN 0093-4690

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Official URL: https://doi.org/10.1080/00934690.2019.1656321

Abstract

Established methods for delineating anthropogenic and natural strata during fieldwork are based on the visual and tactile perception of excavators. Modern image analysis techniques can help to ensure objectivity and reproducibility when documenting sections and plana. Within this study we examine the unsupervised classification of digital images as a technique for delimiting layers and identifying stratigraphic features. Assessing the potential of this approach, we exemplarily captured soil profiles with high-contrast stratigraphy, located in the area of a historical vineyard (Brandenburg, Germany). Reproducible analyses were carried out using open-source software, allowing for the future advancement of the methodology utilized and providing a basis for the analysis of more complex stratigraphic sequences. We compare clustering results of high-resolution RGB and hyperspectral images (470-830 nm, 37 bands). Multiple pre-processing and processing steps are carried out to evaluate their influence. Our results render the semi-automatic analysis of RGB images helpful for stratigraphic interpretation.

Item URL in elib:https://elib.dlr.de/133272/
Document Type:Article
Title:Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Haburaj, VincentUNSPECIFIEDUNSPECIFIED
Krause, JanUNSPECIFIEDUNSPECIFIED
Pless, SebastianUNSPECIFIEDUNSPECIFIED
Waske, BjörnUNSPECIFIEDUNSPECIFIED
Schütt, BrigittaUNSPECIFIEDUNSPECIFIED
Date:16 September 2019
Journal or Publication Title:Journal of Field Archaeology
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:44
DOI :10.1080/00934690.2019.1656321
Page Range:pp. 538-549
Publisher:Taylor & Francis
ISSN:0093-4690
Status:Published
Keywords:fieldwork, digital archaeology, unsupervised classification, stratigraphy, RGB imaging, spectral imaging, landscape archaeology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Optische Sensorik - Theorie, Kalibration, Verifikation
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Security Research and Applications
Deposited By: Pless, Sebastian
Deposited On:08 Jan 2020 08:43
Last Modified:08 Jan 2020 08:43

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  • Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers. (deposited 08 Jan 2020 08:43) [Currently Displayed]

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