A methodology for semi-automatic documentation of archaeological elements using RPAS imagery
| Main Authors: | Angelats, Eduard, Parés, M.E., Mas-Florit, C., Cau-Ontiveros, M.A. |
|---|---|
| Format: | Proceeding Journal |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3662332 |
Daftar Isi:
- One of the main tasks of archaeologists is to document (map) their sites at a level where stones may be clearly distinguished and to provide centimetre-level reliable measurements of man-built structures. One of the goals of the project ARCHREMOTELANDS is to develop a methodology to generate those maps semi-automatically combining RPAS imagery, photogrammetry and machine learning techniques. In this context, this paper presents a conceptual framework to determine the minimum number of pixels, and so the required Ground Sampling distance and altitude needed to fly a RPAS allowing very detailed documentation and digitalization of archaeological sites by processing the acquired images. These images are used firstly to generate a high resolution orthophoto. Then, archaeological elements of interest are documented almost automatically using 2D unsupervised clustering techniques. The approach has been experimentally tested and validated in the early Christian complex of Son Peretó (Manacor, Mallorca, Spain).
- NO ACK.