Application of Convolutional Neural Networks on Digital Terrain Models for Analyzing Spatial Relations in Archaeology

Application of Convolutional Neural Networks on Digital Terrain Models for Analyzing Spatial Relations in Archaeology

Archaeological research is increasingly embedding individual sites in archaeological contexts and aims at reconstructing entire historical landscapes. In doing so, it benefits from technological developments in the field of archaeological prospection over the last 20 years, including LiDAR-based Dig...

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Bibliographic Details
Main Authors: M. Fabian Meyer-Heß, Ingo Pfeffer, Carsten Juergens
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
landscape archaeology
LiDAR
automated detection
CNN
burial mound
hollow way
Online Access:https://www.mdpi.com/2072-4292/14/11/2535

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