Detecting Neolithic Burial Mounds from LiDAR-Derived Elevation Data Using a Multi-Scale Approach and Machine Learning Techniques

Detecting Neolithic Burial Mounds from LiDAR-Derived Elevation Data Using a Multi-Scale Approach and Machine Learning Techniques

Airborne LiDAR technology is widely used in archaeology and over the past decade has emerged as an accurate tool to describe anthropomorphic landforms. Archaeological features are traditionally emphasised on a LiDAR-derived Digital Terrain Model (DTM) using multiple Visualisation Techniques (VTs), a...

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Bibliographic Details
Main Authors: Alexandre Guyot, Laurence Hubert-Moy, Thierry Lorho
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
LiDAR
Digital Terrain Model
Multi-scale Topographic Position
machine learning
Random Forest
visualisation techniques
Neolithic burial mound
Online Access:http://www.mdpi.com/2072-4292/10/2/225

Internet

http://www.mdpi.com/2072-4292/10/2/225

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