Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands-Reference-Cited by-同舟云学术

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Using CarcassonNet to automatically detect and trace hollow roads in LiDAR data from the Netherlands

Published:2021-01 Issue: Volume:47 Page:143-154
ISSN:1296-2074
Container-title:Journal of Cultural Heritage
language:en
Short-container-title:Journal of Cultural Heritage

Author:

Verschoof-van der Vaart Wouter B.^ORCID,Landauer Juergen

Funder

Universiteit Leiden

Publisher

Elsevier BV

Subject

Chemistry (miscellaneous),Conservation,Archeology,Spectroscopy,Materials Science (miscellaneous),General Economics, Econometrics and Finance

Reference76 articles.

1. Remote sensing for archaeology and heritage management — site discovery, interpretation and registration;Cowley,2011

2. The potential of airborne lidar for detection of archaeological features under woodland canopies;Devereux;Antiquity,2005

3. Airborne and space borne remote sensing and digital image analysis in archaeology;Lambers,2018

4. An overview of airborne and terrestial laser scanning in archaeology;Opitz,2013

5. Airborne Laser Scanning Raster Data Visualization. A Guide to Good Practice;Kokalj,2017

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2. Validating predictions of burial mounds with field data: the promise and reality of machine learning;Journal of Documentation;2024-04-26

3. Bathymetric LiDAR and Semi‐Automated Feature Extraction Assist Underwater Archaeological Surveys;Archaeological Prospection;2024-04

4. Machine learning-ready remote sensing data for Maya archaeology;Scientific Data;2023-08-23

5. Evaluating Mask R‐CNN models to extract terracing across oceanic high islands: A case study from Sāmoa;Archaeological Prospection;2023-07-13

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