|
|
|
|
|
|
Research on the Absorption Feature Analysis of Jingdezhen Blue and White Porcelain |
ZHAO Heng-qian1, QIANG Jia-cheng2, 3, ZHAO Hong-rui2, 3, ZHAO Xue-sheng1* |
1. College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, Beijing 100083, China
2. Institute of Geomatics, Department of Civil Engineering, Tsinghua University, Beijing 100084, China
3. 3S Center, Tsinghua University, Beijing 100084, China |
|
|
Abstract Jingdezhen blue and white porcelain is one of the most representative ceramic types in China, which is famous for its high academic and economic values. However, it is hard to discriminate blue and white porcelains of different time periods from their appearance, and how to solve this problem quickly and accurately is a major challenge to preservation of cultural relics. As a totally nondestructive technique, hyperspectral remote sensing has been successfully applied in pigment analysis of historic frescoes and paintings. In this study, 28 Jingdezhen blue and white porcelain samples of different time periods were collected, and their reflectance spectra of both bodies and cobalt blue materials were measured by ground spectrometer. The typical spectral features of blue and white porcelain were summarized, and the change trend of spectral feature parameters for cobalt blue material was analyzed. The study indicated that cobalt blue material has abundant spectral features in visible to near infrared bands, and the spectral feature parameters of different cobalt blue material types showed obvious difference. Hyperspectral remote sensing has significant potential in the cohort analysis of Jingdezhen blue and white porcelains.
|
Received: 2017-11-26
Accepted: 2018-04-27
|
|
Corresponding Authors:
ZHAO Xue-sheng
E-mail: zxs@cumtb.edu.cn
|
|
[1] MA Xi-gui(马希桂). Chinese Blue and White Porcelain(中国青花瓷). Shanghai: Shanghai Rarebooks Publishing House(上海:上海古籍出版社), 1999.
[2] ZHU Yu-ping(朱裕平). Blue and White Porcelain Yuan Dynasty(元代青花瓷). Shanghai: Shanghai Science and Technology Publishing Company(上海:上海科学技术出版社), 2015.
[3] WU Zhan-lei(吴战垒). The history of chinese ceramics(图说中国陶瓷史). Tianjin: Baihua Literature and Art Publishing House(天津:百花文艺出版社), 2009.
[4] WU Juan, LI Jia-zhi, DENG Ze-qun(吴 隽,李家治,邓泽群). SCIENTIA SINICA Techologica(中国科学: 技术科学), 2004, 34(5): 516.
[5] LUO Hong-jie, LI Jia-zhi, GAO Li-ming(罗宏杰,李家治,高力明). Journal of Shaanxi University of Science & Technology·Natural Science Edition(陕西科技大学学报),1994,(1): 1.
[6] WU Juan, LI Jia-zhi(吴 隽,李家治). Journal of Ceramics(陶瓷学报), 1997,(3): 130.
[7] WU Juan, LI Jia-zhi, GUO Jing-kun, et al(吴 隽,李家治,郭景坤,等). Journal of Ceramics(陶瓷学报), 1998, 3(3): 134.
[8] CAO Qun, ZHOU Yong-zheng, YU Shao-wei(操 群,周永正,余绍为). Chinese Ceramics(中国陶瓷), 2011,(7): 48.
[9] XIONG Ying-fei, HE Wen-quan, JIN Yan-ling(熊樱菲,何文权,金延龄). Sciences of Conservation and Archaeology(文物保护与考古科学), 2006, 18(4): 14.
[10] WU Feng-qiang, YANG Wu-nian, LI Dan(武锋强,杨武年,李 丹). Acta Mineralogica Sinica(矿物学报), 2014, 34(2): 166.
[11] Liang H. Applied Physics A,2012, 106(2): 309.
[12] GONG Meng-ting, FENG Ping-li(巩梦婷,冯萍莉). Sciences of Conservation and Archaeology(文物保护与考古科学), 2014, 26(4): 76.
[13] WANG Le-le, LI Zhi-min, MA Qing-lin, et al(王乐乐,李志敏,马清林,等). Dunhuang Research(敦煌研究), 2015,(3): 122.
[14] Cloutis E, Norman L, Cuddy M, et al. Journal of Near Infrared Spectroscopy. 2016, 24(2): 119.
[15] CHEN Yao-cheng, GUO Yan-yi, ZHANG Zhi-gang(陈尧成,郭演仪,张志刚). Journal of the Chinese Ceramic Society(硅酸盐学报), 1978,(4): 4.
[16] CHEN Rao-cheng, ZHANG Fu-kang, ZHANG Xiao-wei, et al(陈尧成,张福康,张筱薇,等). Chinese Ceramics(中国陶瓷), 1995,(2): 40.
[17] WANG Jian-hua(王健华). Palace Museum Journal(故宫博物院院刊), 1998, (1): 75. |
[1] |
CHEN Yuan-zhe1, WANG Qiao-hua1, 2*, TIAN Wen-qiang1, XU Bu-yun1, HU Jian-chao1. Nondestructive Determinations of Texture and Quality of Preserved Egg Gel by Hyperspectral Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1985-1992. |
[2] |
JIANG Qing-hu1, LIU Feng1, YU Dong-yue2, 3, LUO Hui2, 3, LIANG Qiong3*, ZHANG Yan-jun3*. Rapid Measurement of the Pharmacological Active Constituents in Herba Epimedii Using Hyperspectral Analysis Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1445-1450. |
[3] |
LI De-hui1, WU Tai-xia1*, WANG Shu-dong2*, LI Zhe-hua1, TIAN Yi-wei1, FEI Xiao-long1, LIU Yang1, LEI Yong3, LI Guang-hua3. Hyperspectral Indices for Identification of Red Pigments Used in Cultural Relic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1588-1594. |
[4] |
MA Ling-kai, ZHU Shi-ping*, MIAO Yu-jie, WEI Xiao, LI Song, JIANG You-lie, ZHUO Jia-xin. The Discrimination of Organic and Conventional Eggs Based on
Hyperspectral Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1222-1228. |
[5] |
YANG Chong-shan1,2, DONG Chun-wang2*, JIANG Yong-wen2, AN Ting1,2, ZHAO Yan1*. A Method for Judging the Fermentation Quality of Congou Based on Hyperspectral[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1320-1328. |
[6] |
SHAO Yuan-yuan1, 2, WANG Yong-xian1, XUAN Guan-tao1, 3*, GAO Zong-mei4, LIU Yi1, HAN Xiang1, HU Zhi-chao2*. Hyperspectral Imaging Technique for Estimating the Shelf-Life of Kiwifruits[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1940-1946. |
[7] |
CHEN Yao1, 2, HUANG Chang-ping1*, ZHANG Li-fu1, QIAO Na1, 2. Spectral Characteristics Analysis and Remote Sensing Retrieval of COD Concentration[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 824-830. |
[8] |
BAI Xue-bing, YU Jian-shu, FU Ze-tian, ZHANG Ling-xian, LI Xin-xing*. Application of Spectral Imaging Technology for Detecting Crop Disease Information: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 350-355. |
[9] |
LIANG Ye-heng1, DENG Ru-ru1,2*, HUANG Jing-lan3, XIONG Long-hai1, QIN Yan1, LIU Zhu-ting4. The Spectral Characteristic Analysis of Typical Heavy Metal Polluted Water——a Case Study of Mine Drainage in Dabaoshan Mountain, Guangdong Province, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(10): 3237-3244. |
[10] |
ZHANG Ting-ting1, ZHAO Bin1, YANG Li-ming2, WANG Jian-hua1, SUN Qun1*. Determination of Conductivity in Sweet Corn Seeds with Algorithm of GA and SPA Based on Hyperspectral Imaging Technique[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(08): 2608-2613. |
[11] |
ZHANG Ting-ting1, XIANG Ying-ying1, YANG Li-ming2, WANG Jian-hua1, SUN Qun1*. Wavelength Variable Selection Methods for Non-Destructive Detection of the Viability of Single Wheat Kernel Based on Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(05): 1556-1562. |
[12] |
CAO Xiao-feng, REN Hui-ru, LI Xing-zhi, YU Ke-qiang*, SU Bao-feng*. Discrimination of Winter Jujube’s Maturity Using Hyperspectral Technique Combined with Characteristic Wavelength and Spectral Indices[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2175-2182. |
[13] |
XIE Ya-ping1, CHEN Feng-nong1, ZHANG Jing-cheng1, ZHOU Bin2, WANG Hai-jiang3, WU Kai-hua1*. Study on Monitoring of Common Diseases of Crops Based on Hyperspectral Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2233-2240. |
[14] |
LIU Ping, MA Mei-hu*. Application of Hyperspectral Technology for Detecting Adulterated Whole Egg Powder[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 246-252. |
[15] |
LI Cui-ling1, 2, JIANG Kai1, 2, MA Wei1, 2, WANG Xiu1, 2*, MENG Zhi-jun1, 2, ZHAO Xue-guan1, 2, SONG Jian1, 2. Tomato Leaf Liriomyza Sativae Blanchard Pest Detection Based on Hyperspectral Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 253-257. |
|
|
|
|