Utilization of Hyperspectral Image Analysis for Monitoring of Stone Cultural Heritages

Chun, Yu Gun; Lee, Myeong Seong; Kim, Yu Ri; Lee, Mi-Hye; Choi, Myoung Ju; Choi, Kyung-Hwa

doi:10.12654/jcs.2015.31.4.07

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…문양이 있는 직물은 경사와 위사의 색을 달리하여 바탕 과 무늬가 서로 다른 색으로 대비되게 짜기도 하며, 경사 와 위사의 색을 한 가지로 하여 문양이 잘 드러나지 않게 짜기도 한다. 특히 15세기부터 18세기의 문헌 중에는 스민 문⋅스믠문 또는 암화문(暗花紋)이라 하여 (Suh, 2002), 조 선시대에는 직물이 밖으로 드러나지 않은 은은한 문양이 Research Article 선호되었다 (Sim, 2006) (Ahn et al, 2020;2021;Chun et al, 2015). (Cucci et al, 2020;Pan et al, 2017;Zahiri et al, 2018).…”

Section: 서 론unclassified

An Application and Technology of SWIR Hyperspectral Image for Inconspicuous Textile Pattern Analysis

An¹,

Yoo²,

Ahn³

2022

J. Conserv. Sci

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This study applied short-wave infrared (SWIR) hyperspectral imaging technology to analyze the textile pattern used in the Jeogori of Baekdamsa Temple. First introduced in 1748, the Jeogori is a very important relic in the study of Korean traditional costume. The garment w as designated as a national treasure in 1993, and the pattern in its yellow silk has been well established. However, obtaining the pattern information of its reddish purple decoration has proven to be quite challenging. In contrast to yellow, reddish purple is a color that is difficult for a camera to recognize; thus, analyzing patterns in this color using only high-definition digital or infrared photography is difficult. In this work, SWIR hyperspectral imaging technology, which has recently been used in investigations of cultural heritage sites, was applied to identify the textile pattern on the Jeogori of Baekdamsa Temple. The technology successfully identified the patterns of a Wan-character, dragon, and phoenix. This type of textile pattern was identified in Korea from the end of the 17th century to the early-to-mid-18th century. This study is meaningful because it not only provides a detailed image of the textile pattern on the Jeogori of Baekdamsa Temple, which has not been previously achieved, but also proposes a new strategy based on hyperspectral imaging technology for studying the cultural heritage of textiles.

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Section: 서 론unclassified

An Application and Technology of SWIR Hyperspectral Image for Inconspicuous Textile Pattern Analysis

An¹,

Yoo²,

Ahn³

2022

J. Conserv. Sci

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“…. 국내에서도 반사 분광학적 특성을 통한 진단과 지상용 초분광 카메라를 활용한 이미지 분석법을 석조문 화재 진단에 적용한 사례가 있다 (Hyun and Park, 2010;Chun et al, 2015;Ahn et al, 2020) (Griffin et al, 1991;Lee et al, 2001;Min, 2018) (Min, 1985;Han and An, 1990).…”

Section: 서 론unclassified

Analysis of Changes in Vegetation Index Through Long-term Monitoring of Petroglyphs of Cheonjeon-ri, Ulju

Ahn¹,

Yoo²,

Chun³

et al. 2021

J. Conserv. Sci

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In this study, vegetation index, the vegetation index calculated based on hyperspectral images was used to monitor Petroglyphs of Cheonjeon-ri, Ulju from 2014 to 2020. To select suitable the vegetation index for monitoring, indoor analysis was performed, and considering the sensitivity to biocontamination, Normalized Difference Vegetation Index (NDVI) and Triangular Vegetation Index (TVI) were selected. As a result of monitoring using the selected vegetation index, NDVI increased from 2014 to 2018 and then decreased in 2020, after preservation treatment. On the other hand, TVI was difficult to confirm the tendency during the monitoring. This difference was due to the variation in spectral reflectance according to the photographing conditions by year. Therefore NDVI is less sensitive to spectral reflectance deviation than TVI, so it can be used for monitoring. In order for TVI to be used, however, in-depth study is needed.

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“…Hyperspectral imaging is a spectroscopic method that is used to classify light into more than 200 bands at tens of nanometers. Clustering and classifying the spectral characteristics of each damaged image in the image obtained from the measurement yields the number of pixels in the damaged region (Chun et al, 2015).…”

Section: Deterioration Mapmentioning

confidence: 99%

Material and Deterioration Characteristic Analysis for Inscribed Stones of Naksan Mountain Area of the Hanyangdoseong(Seoul City Wall), Korea

et al. 2020

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Utilization of Hyperspectral Image Analysis for Monitoring of Stone Cultural Heritages

Cited by 8 publications

References 15 publications

An Application and Technology of SWIR Hyperspectral Image for Inconspicuous Textile Pattern Analysis

An Application and Technology of SWIR Hyperspectral Image for Inconspicuous Textile Pattern Analysis

Analysis of Changes in Vegetation Index Through Long-term Monitoring of Petroglyphs of Cheonjeon-ri, Ulju

Material and Deterioration Characteristic Analysis for Inscribed Stones of Naksan Mountain Area of the Hanyangdoseong(Seoul City Wall), Korea

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