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一种用于蓝铜矿颜料的归一化差异光谱识别指数。

A Normalized Difference Spectral Recognition Index for Azurite Pigment.

机构信息

School of Earth Sciences and Engineering, Hohai University, Nanjing, China.

State Environment Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.

出版信息

Appl Spectrosc. 2020 May;74(5):571-582. doi: 10.1177/0003702820909435.

Abstract

Hyperspectral technology is a nondestructive, fast, and reliable method for the detection and restoration of relics. Most of the band characteristics of mineral pigment are concentrated between 2200 and 2400 nm, and these data are expensive to obtain (the required imaging sensor is expensive). We are pursuing a hyperspectral index mean that can effectively distinguish pigments in shorter band ranges to achieve high application value that is much less expensive. In this study, based on the spectral features of azurite at 400-1500 nm, we created an azurite normalized difference spectral index (ANDSI) through feature band selection, derivation of characteristic formulae, and discrimination analysis. Reflectivity bands at 458, 806, and 1373 nm were selected to build the ANDSI. Azurite was compared with 25 other common pigments and it was found that the discrimination values between azurite and the other pigments exceeded 0.88 (where values >0.5 indicate discriminable pigments), demonstrating that the ANDSI is suitable for detecting azurite.

摘要

光谱技术是一种无损、快速、可靠的文物检测和修复方法。大多数矿物颜料的波段特征集中在 2200 到 2400nm 之间,这些数据获取成本很高(所需的成像传感器价格昂贵)。我们正在寻找一种可以在更短的波段范围内有效区分颜料的光谱指数,以实现更具应用价值且成本低得多的方法。在这项研究中,我们基于天青石在 400-1500nm 波段的光谱特征,通过特征波段选择、特征公式推导和判别分析,创建了一个天青石归一化差异光谱指数(ANDSI)。选择反射率波段 458、806 和 1373nm 来构建 ANDSI。将天青石与 25 种其他常见颜料进行比较,发现天青石与其他颜料之间的判别值超过 0.88(值>0.5 表示可区分的颜料),表明 ANDSI 适用于检测天青石。

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