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Remote Sensing Sensors and Processing Methods for the Study of Paintings and Works on Paper

This special issue belongs to the section “Remote Sensors“.

Please contact the Guest Editor or the Section Managing Editor at (ava.jiang@mdpi.com) for any queries.

Special Issue Information

Dear Colleagues,

This Special Edition of the Journal Sensors is focused on original research involving the use of remote sensing tools to study works of art and manuscripts. Specifically, the interest is in papers that address such areas as the development, application, and exploitation of data from sensors optimized for the study of art and manuscripts. The goal is to collect a diverse set of papers that span a wide range of remote sensing imaging modalities; for example, multispectral or imaging spectroscopy (reflectance, luminescence, thermal, etc.) and 3D imaging (stereo photography, structured light, LIDAR, etc.) coupled with a chemical imaging modality. Papers focused on performance analysis to define or give guidance for the construction of optimized sensors are also of interest. Areas of data exploitation of interest include data fusion of imaging modalities acquired with different sensors, novel algorithms that provide material maps from the exploited data, and those that contribute to codicology studies of the artifacts themselves. The works of art of interest include polychrome objects (paintings, wall paintings and sculpture) and works on paper (paintings, drawings, historical text).

Dr. John K. Delaney
Prof. Dr. David W. Messinger
Guest Editors

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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
  • Image processing
  • 3D imaging
  • Cultural heritage imaging

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Sensors - ISSN 1424-8220