Detecting the Archaeological Traces of Tar Production Kilns in the Northern Boreal Forests Based on Airborne Laser Scanning and Deep Learning

Detecting the Archaeological Traces of Tar Production Kilns in the Northern Boreal Forests Based on Airborne Laser Scanning and Deep Learning

This paper presents the development and application of a deep learning-based approach for semi-automated detection of tar production kilns using new Finnish high-density Airborne Laser Scanning (ALS) data in the boreal taiga forest zone. The historical significance of tar production, an important li...

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Bibliographic Details
Main Authors: Niko Anttiroiko, Floris Jan Groesz, Janne Ikäheimo, Aleksi Kelloniemi, Risto Nurmi, Stian Rostad, Oula Seitsonen
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
airborne laser scanning
archaeology
feature detection
deep learning
tar production
boreal forest
Online Access:https://www.mdpi.com/2072-4292/15/7/1799

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