Mineralogical interpretation of multispectral images: The case study of the pigments in the frigidarium of the Sarno Baths, Pompeii

Asscher, Yotam; Angelini, Ivana; Secco, Michele; Parisatto, Matteo; Chaban, A. A.; Deiana, Rita; Artioli, Gilberto

doi:10.1016/j.jasrep.2020.102774

Cited by 5 publications

(12 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1b). Moreover, this image was further enriched with some elements, invisible to the naked eye, but identified thanks to multi-spectral analyses and the measurement of cuprorivaite (Egyptian blue) concentrations [9]. Finally, the missing parts were filled with the sottotono technique (i.e.…”

Section: Methodsmentioning

confidence: 99%

Integrated methods for reconstructing the decoration and production process of the frigidarium wall-paintings, at the Sarno Baths, Pompeii

Salvadori

Boschetti

Baronio

et al. 2019

Journal of Cultural Heritage

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Integrated methods for reconstructing the decoration and production process of the frigidarium wall-paintings, at the Sarno Baths, Pompeii

Salvadori

Boschetti

Baronio

et al. 2019

Journal of Cultural Heritage

View full text Add to dashboard Cite

“…Nowadays, innovative methods for the non-destructive characterization of works of art are proposed worldwide. For instance, a mobile laser emission spectrometer for quantitative and qualitative elemental analysis of paintings directly in the halls of museums [ 11 ] and portable digital cameras that register the ultraviolet, visible, and infrared spectral regions through external band-pass filters combined with X-ray fluorescence and fiber optic reflectance spectrometers were created for the non-invasive characterization of paintings on-site [ 12 ]. Ultra-sensitive surface-enhanced Raman spectroscopy (SERS) methodology is being developed to identify pigments in real art objects [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Aerosol Dry Printing for SERS and Photoluminescence-Active Gold Nanostructures Preparation for Detection of Traces in Dye Mixtures

et al. 2022

View full text Add to dashboard Cite

We proposed a novel method of nanostructure preparation for observation of surface-enhanced Raman spectroscopy (SERS) and metal-enhanced fluorescence (MEF) based on the deposition of gold nanoparticles (GNPs) above the thin dye film by dry aerosol printing. We detected various enhanced SERS and MEF signals of films of malachite green (MG) and rhodamine B (RhB) mixtures, depending on the surface packing density of Au NPs on the strip, and found the optimum one to achieve the 3.5 × 105 SERS enhancement. It was shown that statistical methods of chemometrics such as projection on latent structures provided the opportunity to distinguish SERS of MG from 100 ppm RhB in a mixture, whereas separation of MEF signals are feasible even for a mixture of MG and 1 ppm RhB due to two-photon excitation.

show abstract

“…Brian Bino SINAICE 1 *, Narihiro OWADA 2 , Hajime IKEDA 1 , Hisatoshi TORIYA 1 , Elisha SHEMANG 3 , Zibisani Biza BAGAI 4 , Shinji UTSUKI 5 , Tsuyoshi ADACHI 1 and Youhei KAWAMURA 6 to develop a method equally capable, however, without the highcost aspect, thereby achieving cost effi ciency, fast data collection, as well as quicker data analysis. To eliminate redundant bands, a dimensionality reduction tool needs to be employed [10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Dimensional Reduction of Rock Hyperspectral Signatures and Classification Based on a NCA Method used in developing a UAV Multispectral Imaging System

Sinaice

Owada

Ikeda

et al. 2022

Int.J.Soc.Mater.Eng.Resour.

View full text Add to dashboard Cite

The adoption of hyperspectral imaging has had positive feedback in multiple industries, especially those heavily reliant on the visual analysis of subjects. Reasons for such are primarily due to the high accuracies achievable from processing high dimensional data. Nevertheless, hyperspectral data is said to possess a ' dimensionality curse'. This phenomenon, deems it computationally demanding and diffi cult to employ in rapid fi eld investigations such as the use of drone-mounted spectral cameras to distinguish rocks. To counter this, this study proposes the employment of a method of reducing the number of dimensions used to highlight the most characteristic feature bands referred to as Neighbourhood Component Analysis(NCA). NCA aided in disregarding redundant bands from 204 dimensionalities, to a still highly capable 5 bands dimensionality, which coincides with the current production of 5-band detection drones. To process this data, several machine learning(ML) algorithms were run in order to perform spectral classifi cation of rocks based on the 5 NCA defi ned bands. This study's novel fi ndings show that one is able to acquire with NCA and ML, 5 bands, with a post-optimization average global accuracy of 95.4%. Such capabilities are highly suffi cient considering the magnitude of the dimensionality reduction combined with the potential fi eld drone applicability.

show abstract

Mineralogical interpretation of multispectral images: The case study of the pigments in the frigidarium of the Sarno Baths, Pompeii

Cited by 5 publications

References 40 publications

Integrated methods for reconstructing the decoration and production process of the frigidarium wall-paintings, at the Sarno Baths, Pompeii

Integrated methods for reconstructing the decoration and production process of the frigidarium wall-paintings, at the Sarno Baths, Pompeii

Aerosol Dry Printing for SERS and Photoluminescence-Active Gold Nanostructures Preparation for Detection of Traces in Dye Mixtures

Dimensional Reduction of Rock Hyperspectral Signatures and Classification Based on a NCA Method used in developing a UAV Multispectral Imaging System

Contact Info

Product

Resources

About