scholarly journals Hyperspectral Imaging Techniques for the Study, Conservation and Management of Rock Art

2019 ◽  
Vol 9 (23) ◽  
pp. 5011 ◽  
Author(s):  
Bayarri ◽  
Sebastián ◽  
Ripoll
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Imaging Techniques ◽  
Rock Art ◽  
Rock Surface ◽  
Pigment Analysis ◽  
History Of ◽  
Coloring Matter ◽  
Non Destructive

Paleolithic rock art is one of the most important cultural phenomena in the history of mankind. It was made by making incisions and/or applying natural pigments mixed with water or organic elements on a rock surface, which for millennia has been subjected to different factors of natural and anthropogenic alteration that have caused its deterioration and/or disappearance. The present paper shows a methodology that employs hyperspectral technology in the range of visible light and the near infrared spectrum, providing a scientific and non-destructive way to study, conserve and manage such a valuable cultural heritage. Recognition of coloring matter, formal recognition of the figures, superposition of forms and documentation of the state of conservation are relevant topics in rock art, and hyperspectral imaging technology is an efficient way to study them. The aim is to establish a method of creating pigment cartography and enhancing the visualization of rock art panels. Illumination sources, spectroradiometry measurements and camera adjustments must be taken into account to generate accurate results that later will be pre-processed to derive reflectance data, and then pigment analysis and enhanced visualization methods are applied. This methodology has allowed us to obtain 76% more figures than using traditional techniques throughout the case study area.

Recent advancement in near infrared spectroscopy and hyperspectral imaging techniques for quality and safety assessment of agricultural and food products in the China Agricultural University

NIR news ◽  
2018 ◽  
Vol 29 (8) ◽  
pp. 19-23 ◽  
Author(s):  
Hongzhe Jiang ◽  
Wei Wang ◽  
Xinzhi Ni ◽  
Hong Zhuang ◽  
Seung-Chul Yoon ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Imaging Techniques ◽  
Food Products ◽  
Optical Methods ◽  
Quality And Safety ◽  
Safety Control ◽  
Non Destructive

Near infrared spectroscopy and hyperspectral imaging are fast-growing, rapid, powerful, and non-destructive optical technologies that can be used especially in quality and safety control of agro-food products. The Non-destructive Detecting Laboratory for Agricultural and Food Products in the College of Engineering, China Agricultural University in Beijing, China, has engaged in research on sensing and characterizing agro-food quality and safety attributes with the latest optical methods including near infrared spectroscopy and hyperspectral imaging for over five years. In this report, some of our latest research and developments through multidisciplinary international collaborations will be highlighted to demonstrate our contributions to this near infrared spectroscopy and hyperspectral imaging sensing area to improve non-destructive diagnosis and quality control of agricultural and food products.

The potential of spectral and hyperspectral-imaging techniques for bacterial detection in food: A case study on lactic acid bacteria

Talanta ◽  
2016 ◽  
Vol 153 ◽  
pp. 111-119 ◽  
Author(s):  
Giorgia Foca ◽  
Carlotta Ferrari ◽  
Alessandro Ulrici ◽  
Giorgia Sciutto ◽  
Silvia Prati ◽  
...  
Keyword(s):  
Lactic Acid ◽  
Lactic Acid Bacteria ◽  
Hyperspectral Imaging ◽  
Imaging Techniques ◽  
Bacterial Detection

X-ray Advances in Support of Advanced Packaging – Today and Tomorrow

2018 ◽  
Vol 2018 (1) ◽  
pp. 000409-000414
Author(s):  
David Bernard
Keyword(s):  
Heat Dissipation ◽  
X Ray ◽  
Destructive Test ◽  
Heat Transfer Efficiency ◽  
Advanced Packaging ◽  
History Of ◽  
Production Output ◽  
2D And 3D ◽  
Non Destructive

Abstract As advanced packaging continues to develop to support novel and emerging technologies, the need for, ideally non-destructive, test and inspection continues to be vital to ensure the quality and assurance of functionality, wherever the package may go. This is made ever more difficult as the package complexity increases, whilst the feature sizes within continue to decrease. X-ray technology has long been an important part of the non-destructive inspection protocol over the history of advanced packaging and will continue to need to play a more important part in the future. This paper will review the advances made in both 2D and 3D X-ray inspection over recent years and the new opportunities that are now starting to be available, especially in 3D, or CT, inspection, that will enable this 120-year-old technology to remain relevant to and supportive of the needs of advanced packaging. To highlight the above, a case study will be presented on the faults that 2D and CT X-ray analysis can find in LEDs during their manufacture. LEDs are a good example of the remarkable developments in packaging and technology over the last 20 years, where the use of higher powers, smaller sized features and increased reliability requirements intensify the need for higher quality, more consistent production output. Flaws cannot be accepted, especially as higher usage powers mean higher operating temperatures which, in turn, then requires very good thermal conductivity in the package to move heat away from key areas. Without good heat dissipation then heat stresses at the interfaces can cause delamination or die fractures, so reducing LED lifetimes. The presence of voids, particularly at the die to package interface, creates air gaps that reduces heat transfer efficiency. As many LEDs are potted, or encapsulated, the only non-destructive test option to check for voiding and other faults is by using 2D and CT X-ray analysis.

Non-destructive evaluation of bacteria-infected watermelon seeds using visible/near-infrared hyperspectral imaging

2016 ◽  
Vol 97 (4) ◽  
pp. 1084-1092 ◽  
Author(s):  
Hoonsoo Lee ◽  
Moon S. Kim ◽  
Yu-Rim Song ◽  
Chang-Sik Oh ◽  
Hyoun-Sub Lim ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Non Destructive Evaluation ◽  
Non Destructive

Classification of individual cotton seeds with respect to variety using near-infrared hyperspectral imaging

2016 ◽  
Vol 8 (48) ◽  
pp. 8498-8505 ◽  
Author(s):  
Sófacles Figueredo Carreiro Soares ◽  
Everaldo Paulo Medeiros ◽  
Celio Pasquini ◽  
Camilo de Lelis Morello ◽  
Roberto Kawakami Harrop Galvão ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
New Strategy ◽  
Cotton Seeds ◽  
Non Destructive

This paper proposes the use of Near Infrared Hyperspectral Imaging (NIR-HSI) as a new strategy for fast and non-destructive classification of cotton seeds with respect to variety.

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