Photogrammetry, Remote Sensing and GIS for Built Heritage
A special issue of Heritage (ISSN 2571-9408).
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 25395
Special Issue Editors
Interests: photogrammetry; image processing; augmented reality; 3D modelling; machine learning
Special Issue Information
Dear Colleagues,
Photogrammetry, Remote Sensing and GIS applications have a great impact on heritage work and archaeological practice. In archaeological, conservation and restoration practices, data collection and management have always been crucial. However, the way fieldwork is conducted has changed significantly in recent decades as a result of growing digitization in data collection, both in terms of methodology and interpretation. As a result of these changes, new issues concerning accessibility, standardization, and so on emerge.
Close-range photogrammetry and aerial photogrammetry based on historical or new images extract 3D models for recording, documentation and management of the cultural heritage. Terrestrial laser scanning is a terrestrial, active imaging method that acquires a dense 3D point cloud of an object by sending laser pulses to every point of the object and measuring the distance from the device to the target. Airborne lidar is also widely used resulting in 3-dimensional digital surface models of the archaeological sites. Structure From Motion is another technique for extracting 3D models using multiple images. Unmanned Aerial Vehicles also allow the creation of 3D models.
Remote sensing with the utilization of very high-resolution sensors provides images to assist in the monitoring of the progress of maintenance and reconstruction on the surface. It can be used also to monitor the surroundings of a cultural site and document any changes using time series data. GIS has been established as a tool in archaeology for monitoring cultural heritage using functional spatial analysis.
This Special Issue seeks research and review papers covering the algorithms, applications, methodologies and case studies on the recording, documentation and visualization of built heritage. At the same time it seeks to address issues of their impact in the production of archaeological knowledge and discusses the implications of these methods and applications in the work process of the archaeologist, conservator and restorer in the field.
Topics include, but are not limited to:
- 3D modelling, photogrammetry and retrospective photogrammetry of monuments and archaeological sites;
- Data processing methods and algorithms;
- Monitoring and change detection;
- Visualization and VR/AR/AI applications for archaeology and cultural heritage;
- Remote sensing for archaeology and cultural heritage;
- Multi-disciplinary case studies;
- Reflexive approaches in data acquisition and management.
Machine Learning in cultural heritage.
Dr. Lemonia Ragia
Dr. Dorina Moullou
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Heritage is an international peer-reviewed open access monthly journal published by MDPI.
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