文章基本信息

标题：Digital Deforestation: Comparing Automated Approaches to the Production of Digital Terrain Models (DTMs) in Agisoft Metashape
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作者：Matthew D. Howland ; Anthony Tamberino ; Ioannis Liritzis 等
期刊名称：Quaternary
电子版ISSN：2571-550X
出版年度：2022
卷号：5
期号：1
页码：5
DOI：10.3390/quat5010005
语种：English
出版社：MDPI AG
摘要：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.