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文化遗产领域中的高光谱成像技术:新的可能情景

Hyper-Spectral Imaging Technique in the Cultural Heritage Field: New Possible Scenarios.

作者信息

Picollo Marcello, Cucci Costanza, Casini Andrea, Stefani Lorenzo

机构信息

Istituto di Fisica Applicata "Nello Carrara" del Consiglio Nazionale delle Ricerche (IFAC-CNR), Via Madonna del piano 10, 50019 Firenze, Italy.

出版信息

Sensors (Basel). 2020 May 16;20(10):2843. doi: 10.3390/s20102843.

DOI:10.3390/s20102843
PMID:32429434
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7287632/
Abstract

Imaging spectroscopy technique was introduced in the cultural heritage field in the 1990s, when a multi-spectral imaging system based on a Vidicon camera was used to identify and map pigments in paintings. Since then, with continuous improvements in imaging technology, the quality of spectroscopic information in the acquired imaging data has greatly increased. Moreover, with the progressive transition from multispectral to hyperspectral imaging techniques, numerous new applicative perspectives have become possible, ranging from non-invasive monitoring to high-quality documentation, such as mapping and characterization of polychrome and multi-material surfaces of cultural properties. This article provides a brief overview of recent developments in the rapidly evolving applications of hyperspectral imaging in this field. The fundamentals of the various strategies, that have been developed for applying this technique to different types of artworks are discussed, together with some examples of recent applications.

摘要

成像光谱技术于20世纪90年代被引入文化遗产领域,当时基于光导摄像管相机的多光谱成像系统被用于识别和绘制绘画中的颜料。从那时起,随着成像技术的不断改进,采集到的成像数据中光谱信息的质量有了大幅提高。此外,随着从多光谱成像技术向高光谱成像技术的逐步转变,许多新的应用前景成为可能,从非侵入性监测到高质量记录,如对文化财产的彩色和多材料表面进行测绘和表征。本文简要概述了高光谱成像在该领域迅速发展的应用中的最新进展。讨论了为将该技术应用于不同类型艺术品而开发的各种策略的基本原理,并列举了一些近期应用的例子。

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本文引用的文献

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Color constancy of color reproductions in art paintings.艺术绘画中色彩复制品的颜色恒常性。
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Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.
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A Rehabilitation of Pixel-Based Spectral Reconstruction from RGB Images.基于 RGB 图像的像素级光谱重建的恢复。
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Neural Networks for Hyperspectral Imaging of Historical Paintings: A Practical Review.基于神经网络的历史绘画高光谱成像:实用综述。
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