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Advances in Multispectral Sensing, Imaging Techniques and Computational Applications in Cultural Heritage

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: 20 March 2025 | Viewed by 2568

Special Issue Editors


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Guest Editor
Institute of Heritage Sciences, National Research Council, 50019 Sesto Fiorentino, Italy
Interests: computational hyperspectral imaging for materials analysis (UV-SWIR); multiscale 3D surveying for structural analysis and surface examination (optical profilometry, RTI imaging, photogrammetry, structured light scanning and triangulation, holographic speckle interferometry); advanced image processing and data fusion methods

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Guest Editor
Department of Physics, University of Milan, 20122 Milano, Italy
Interests: imaging; painting; multispectral imaging; radiography; cultural heritage; UV/VIS/NIR spectroscopy

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit a research paper for a Special Issue of the journal Sensors entitled “Advances in Multispectral Sensing, Imaging Techniques and Computational Applications in Cultural Heritage”.

This Special Issue focuses on the latest and most current techniques, methods, and applications that specifically address the analysis and representation of cultural heritage in its spatial and material characteristics, using non-invasive imaging techniques and computational data.

The following topics are of particular interest for this Special Issue:

  • Development and application of multi-band, multi-/hyper-spectral imaging techniques (UVIL, VIS, IR, IRFC, VIL) and multivariate analysis to characterize artistic techniques and pictorial materials of cultural heritage;
  • Reflectance transformation imaging (RTI) for surface characterization;
  • Development and application of multi-scale and multi-resolution 3D digital surveying techniques (photogrammetry, laser scanners, structured light scanners, laser microprofilometers, holographic speckle interferometry) for advanced metrological monitoring and analysis of movable and immovable artworks;
  • Integration of multimodal diagnostic methods and data fusion protocols (multispectral 3D modeling, 3D point cloud data fusion) for integrated documentation of radiometric and morphometric data.

You as well as your colleagues and interested researchers are welcome to submit for this Special Issue.

Dr. Emanuela Grifoni
Dr. Marco Gargano
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. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • reflectance imaging spectroscopy
  • hyperspectral imaging
  • reflectance transformation imaging
  • image processing
  • 3D imaging
  • holographic speckle interferometry
  • 3D data fusion
  • multimodal survey
  • sensors

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Published Papers (2 papers)

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Research

14 pages, 9017 KiB  
Article
Segmentation of 3D Point Clouds of Heritage Buildings Using Edge Detection and Supervoxel-Based Topology
by Santiago Salamanca, Pilar Merchán, Alejandro Espacio, Emiliano Pérez and María José Merchán
Sensors 2024, 24(13), 4390; https://doi.org/10.3390/s24134390 - 6 Jul 2024
Viewed by 965
Abstract
This paper presents a novel segmentation algorithm specially developed for applications in 3D point clouds with high variability and noise, particularly suitable for heritage building 3D data. The method can be categorized within the segmentation procedures based on edge detection. In addition, it [...] Read more.
This paper presents a novel segmentation algorithm specially developed for applications in 3D point clouds with high variability and noise, particularly suitable for heritage building 3D data. The method can be categorized within the segmentation procedures based on edge detection. In addition, it uses a graph-based topological structure generated from the supervoxelization of the 3D point clouds, which is used to make the closure of the edge points and to define the different segments. The algorithm provides a valuable tool for generating results that can be used in subsequent classification tasks and broader computer applications dealing with 3D point clouds. One of the characteristics of this segmentation method is that it is unsupervised, which makes it particularly advantageous for heritage applications where labelled data is scarce. It is also easily adaptable to different edge point detection and supervoxelization algorithms. Finally, the results show that the 3D data can be segmented into different architectural elements, which is important for further classification or recognition. Extensive testing on real data from historic buildings demonstrated the effectiveness of the method. The results show superior performance compared to three other segmentation methods, both globally and in the segmentation of planar and curved zones of historic buildings. Full article
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16 pages, 7993 KiB  
Article
A New Method for Extracting Refined Sketches of Ancient Murals
by Zhiji Yu, Shuqiang Lyu, Miaole Hou, Yutong Sun and Lihong Li
Sensors 2024, 24(7), 2213; https://doi.org/10.3390/s24072213 - 29 Mar 2024
Viewed by 1013
Abstract
Mural paintings, as the main components of painted cultural relics, have essential research value and historical significance. Due to their age, murals are easily damaged. Obtaining intact sketches is the first step in the conservation and restoration of murals. However, sketch extraction often [...] Read more.
Mural paintings, as the main components of painted cultural relics, have essential research value and historical significance. Due to their age, murals are easily damaged. Obtaining intact sketches is the first step in the conservation and restoration of murals. However, sketch extraction often suffers from problems such as loss of details, too thick lines, or noise interference. To overcome these problems, a mural sketch extraction method based on image enhancement and edge detection is proposed. The experiments utilize Contrast Limited Adaptive Histogram Equalization (CLAHE) and bilateral filtering to enhance the mural images. This can enhance the edge features while suppressing the noise generated by over-enhancement. Finally, we extract the refined sketch of the mural using the Laplacian Edge with fine noise remover (FNR). The experimental results show that this method is superior to other methods in terms of visual effect and related indexes, and it can extract the complex line regions of the mural. Full article
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