Versenden
Drucken
Haburaj, Vincent und Krause, Jan und Pless, Sebastian und Waske, Björn und Schütt, Brigitta (2019) Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers. Journal of Field Archaeology, 44 (8), Seiten 538-549. Taylor & Francis. doi: 10.1080/00934690.2019.1656321. ISSN 0093-4690.
Dies ist die aktuellste Version dieses Eintrags.
Dieses Archiv kann nicht den Volltext zur Verfügung stellen.
Offizielle URL: https://doi.org/10.1080/00934690.2019.1656321
Kurzfassung
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.
| elib-URL des Eintrags: | https://elib.dlr.de/133272/ | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||
| Titel: | Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers | ||||||||||||||||||||||||
| Autoren: |
| ||||||||||||||||||||||||
| Datum: | 16 September 2019 | ||||||||||||||||||||||||
| Erschienen in: | Journal of Field Archaeology | ||||||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||||||
| In SCOPUS: | Ja | ||||||||||||||||||||||||
| In ISI Web of Science: | Ja | ||||||||||||||||||||||||
| Band: | 44 | ||||||||||||||||||||||||
| DOI: | 10.1080/00934690.2019.1656321 | ||||||||||||||||||||||||
| Seitenbereich: | Seiten 538-549 | ||||||||||||||||||||||||
| Verlag: | Taylor & Francis | ||||||||||||||||||||||||
| ISSN: | 0093-4690 | ||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||
| Stichwörter: | fieldwork, digital archaeology, unsupervised classification, stratigraphy, RGB imaging, spectral imaging, landscape archaeology | ||||||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben Optische Sensorik - Theorie, Kalibration, Verifikation (alt) | ||||||||||||||||||||||||
| Standort: | Berlin-Adlershof | ||||||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Optische Sensorsysteme > Sicherheitsforschung und Anwendungen | ||||||||||||||||||||||||
| Hinterlegt von: | Pless, Sebastian | ||||||||||||||||||||||||
| Hinterlegt am: | 08 Jan 2020 08:43 | ||||||||||||||||||||||||
| Letzte Änderung: | 08 Jan 2020 08:43 |
Verfügbare Versionen dieses Eintrags
- Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers. (deposited 08 Jan 2020 08:43) [Gegenwärtig angezeigt]
Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags
