| Autor: |
Matthew D. Howland, Anthony Tamberino, Ioannis Liritzis, Thomas E. Levy |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Quaternary, Vol 5, Iss 1, p 5 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2571-550X |
| DOI: |
10.3390/quat5010005 |
| Popis: |
This paper tests the suitability of automated point cloud classification tools provided by the popular image-based modeling (IBM) software package Agisoft Metashape for the generation of digital terrain models (DTMs) at moderately-vegetated archaeological sites. DTMs are often required for various forms of archaeological mapping and analysis. The suite of tools provided by Agisoft are relatively user-friendly as compared to many point cloud classification algorithms and do not require the use of additional software. Based on a case study from the Mycenaean site of Kastrouli, Greece, the mostly-automated, geometric classification tool “Classify Ground Points” provides the best results and produces a quality DTM that is sufficient for mapping and analysis. Each of the methods tested in this paper can likely be improved through manual editing of point cloud classification. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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