Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights

Deep Learning for Archaeological Object Detection on LiDAR: New Evaluation Measures and Insights

Machine Learning-based workflows are being progressively used for the automatic detection of archaeological objects (intended as below-surface sites) in remote sensing data. Despite promising results in the detection phase, there is still a lack of a standard set of measures to evaluate the performa...

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Bibliographic Details
Main Authors: Marco Fiorucci, Wouter B. Verschoof-van der Vaart, Paolo Soleni, Bertrand Le Saux, Arianna Traviglia
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
evaluation measures
machine learning
object detection
archaeology
LiDAR
Online Access:https://www.mdpi.com/2072-4292/14/7/1694

Internet

https://www.mdpi.com/2072-4292/14/7/1694

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