Light Detection and Ranging (LiDAR) became one of the technologies used in archaeological research. It allows for relatively easy detection of archaeological sites that have their own field form, e.g.: barrows, fortresses, tracts, ancient fields [1]. As a result of the scanning, the so-called point cloud is obtained, often consisting of millions of points. Such large measurement datasets are very time-consuming and labor-intensive in processing. Therefore, works on optimization of those datasets are constantly being carried out [3]. In this study it was decided to test the Optimum Dataset (OptD) method [4]. It allows to reduce the measurement dataset, what can improve DTM generation, 3D modeling of archaeological objects. The OptD method was used for the development of Terrestrial Laser Scanning (TLS) measurements of barrows. The acquired point cloud has been reduced in several variants to show the degree of reduction. The user/archaeologist decides about the usefulness of each reduced TLS datasets.
Authors
- Wioleta Blaszczak-Bak,
- Andrzej Dumalski,
- dr inż. Anna Sobieraj-Żłobińska link open in new tab
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/bgc-geomatics.2018.00019
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2018
