Research on blue and white porcelain from different ages based on hyperspectral technology.
Chronological classification studies of successive ages of Jingdezhen blue and white porcelain have high research value both academically and socioeconomically. Compared with other chemical analysis methods, hyperspectral remote sensing techniques have advantages such as non-contact and non-destruct...
| Publicado en: | Journal of Cultural Heritage Vol. 62; pp. 151 - 160 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
| Publicado: |
Elsevier B.V.
Jul2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=169854149&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 169854149 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 12962074 KK8 jtl: Journal of Cultural Heritage issn: 12962074 maglogo: N pubinfo: dt: Jul2023 vid: 62 pid: 467 pub: Elsevier B.V. artinfo: ui: 169854149 10.1016/j.culher.2023.05.025 ppf: 151 ppct: 9 formats: tig: atl: Research on blue and white porcelain from different ages based on hyperspectral technology. aug: au: Zhao, Hengqian Hu, Zhiheng Liu, Ge Xu, Shuqiang Lu, Zhengpu Zheng, Qiushi affil: China University of Mining and Technology (Beijing), No.11, Xueyuan Road, Haidian District, 100083 Beijing, China Shandong Key Laboratory of Cultural Heritage Conservation and Archaeological Sciences, Shandong University, Qingdao, Shandong, 266237, China Institute of Cultural Heritage, Shandong University, Qingdao, Shandong, 266237, China su: Fisher discriminant analysis Random forest algorithms Porcelain Blue Discriminant analysis Feature selection sug: subj: Fisher discriminant analysis Random forest algorithms Porcelain Blue Discriminant analysis Feature selection keyword: Blue and white porcelain Chronological classification Hyperspectral remote sensing Spectral feature ab: Chronological classification studies of successive ages of Jingdezhen blue and white porcelain have high research value both academically and socioeconomically. Compared with other chemical analysis methods, hyperspectral remote sensing techniques have advantages such as non-contact and non-destructive nature. In this paper, Jingdezhen blue and white porcelain of various ages is taken as the research object, linear discriminant analysis is used to build a model of typical extracted spectral features that are sensitive to blue and white porcelain material type and age information, stepwise discriminant analysis and competitive adaptive reweighted sampling are used for feature selection, and continuous wavelet transform and spectral feature parametric-based methods are used for feature extraction. Then, a random forest algorithm and long short-term memory (LSTM) are combined to categorize Jingdezhen blue and white porcelain of various ages. The stepwise discriminant analysis paired with LSTM is the most accurate combination amongst all classification techniques with the same amount of control preferred characteristics. This research shows that the categorization of Jingdezhen porcelain from various ages may be accomplished using hyperspectral remote sensing technique in conjunction with the random forest algorithm and long short-term memory. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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