scholarly journals Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6150
Author(s):  
Emeline Pouyet ◽  
Tsveta Miteva ◽  
Neda Rohani ◽  
Laurence de Viguerie
Keyword(s):  
Treatment Approach ◽  
Short Wave ◽  
Data Cube ◽  
Infrared Range ◽  
Intrinsic Complexity ◽  
Short Wave Infrared ◽  
Absorption Features ◽  
Reference Samples ◽  
Historical Samples

Hyperspectral reflectance imaging in the short-wave infrared range (SWIR, “extended NIR”, ca. 1000 to 2500 nm) has proven to provide enhanced characterization of paint materials. However, the interpretation of the results remains challenging due to the intrinsic complexity of the SWIR spectra, presenting both broad and narrow absorption features with possible overlaps. To cope with the high dimensionality and spectral complexity of such datasets acquired in the SWIR domain, one data treatment approach is tested, inspired by innovative development in the cultural heritage field: the use of a pigment spectral database (extracted from model and historical samples) combined with a deep neural network (DNN). This approach allows for multi-label pigment classification within each pixel of the data cube. Conventional Spectral Angle Mapping and DNN results obtained on both pigment reference samples and a Buddhist painting (thangka) are discussed.

scholarly journals Phenalenyl based neutral radical as a novel electrochromic material modulating visible to short-wave infrared light

RSC Advances ◽  
2018 ◽  
Vol 8 (73) ◽  
pp. 42068-42072 ◽  
Author(s):  
Dejan Stekovic ◽  
Mikhail E. Itkis
Keyword(s):  
Small Molecule ◽  
Short Wave ◽  
Infrared Light ◽  
Infrared Range ◽  
Neutral Radical ◽  
Electrochromic Material ◽  
Short Wave Infrared

A phenalenyl based small molecule can modulate from a transmissive to black state in the visible to short-wave infrared range.

Ammonium abundance and short-wave infrared absorption spectra of altered rocks

2020 ◽  
Vol 20 (4) ◽  
pp. 451-460
Author(s):  
Keiko Hattori ◽  
Anna Fonseca ◽  
Tabetha Sheppard
Keyword(s):  
Absorption Spectra ◽  
Nitrogen Isotope ◽  
Short Wave ◽  
Absorption Feature ◽  
Rock Composition ◽  
Content Type ◽  
Fine Grained ◽  
Supplementary Material ◽  
Short Wave Infrared ◽  
Absorption Features

Rhyolitic rocks hosting the El Zapote epithermal Ag deposit are pervasively altered and contain ammonium ranging from 290 to 1750 ppm. High ammonium values are found in samples containing abundant fine-grained illite. This fine-grained illite shows overall low ratios of K/(Al + Fe), likely due to ammonium substituting K+. Samples containing high ammonium, greater than 1000 ppm in the proximity of Ag-bearing veins, show distinct absorption features of ammonium in short-wave infrared (SWIR) absorption spectra. Samples containing ammonium ranging from 500 to 1000 ppm show mixed absorption signatures; some show prominent absorption features related to ammonium, whereas others have no recognizable features. There is no discernible absorption feature related to ammonium for samples containing less than 500 ppm NH4. The data suggest that SWIR spectroscopy is useful in locating the proximal areas to mineralization, but the extent of ammonium alteration is much larger than that identified by SWIR spectroscopy. Nitrogen isotope compositions of ammonium are similar to those of sedimentary rocks, suggesting that the source of ammonium in altered rhyolite is sedimentary basement rocks in the area.Supplementary material: bulk rock composition is available at https://doi.org/10.6084/m9.figshare.c.5015663

scholarly journals Metal-Semiconductor-Metal GeSn Photodetectors on Silicon for Short-Wave Infrared Applications

Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 795
Author(s):  
Soumava Ghosh ◽  
Kuan-Chih Lin ◽  
Cheng-Hsun Tsai ◽  
Harshvardhan Kumar ◽  
Qimiao Chen ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Collection Efficiency ◽  
Short Wave ◽  
Carrier Generation ◽  
Optical Components ◽  
Metal Semiconductor Metal ◽  
Wide Range ◽  
Short Wave Infrared ◽  
Planar Fabrication

Metal-semiconductor-metal photodetectors (MSM PDs) are effective for monolithic integration with other optical components of the photonic circuits because of the planar fabrication technique. In this article, we present the design, growth, and characterization of GeSn MSM PDs that are suitable for photonic integrated circuits. The introduction of 4% Sn in the GeSn active region also reduces the direct bandgap and shows a redshift in the optical responsivity spectra, which can extend up to 1800 nm wavelength, which means it can cover the entire telecommunication bands. The spectral responsivity increases with an increase in bias voltage caused by the high electric field, which enhances the carrier generation rate and the carrier collection efficiency. Therefore, the GeSn MSM PDs can be a suitable device for a wide range of short-wave infrared (SWIR) applications.

scholarly journals Surface Investigation of Photo-Degraded Wood by Colour Monitoring, Infrared Spectroscopy, and Hyperspectral Imaging

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Giorgia Agresti ◽  
Giuseppe Bonifazi ◽  
Luca Calienno ◽  
Giuseppe Capobianco ◽  
Angela Lo Monaco ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Infrared Region ◽  
Short Wave ◽  
Infrared Range ◽  
Surface Chemical ◽  
Colour Changes ◽  
Short Wave Infrared ◽  
Near Infrared Range

The aim of this investigation is to study the changes occurring on the surface of poplar wood exposed to artificial irradiation in a Solar Box. Colour changes were monitored with a reflectance spectrophotometer. Surface chemical modifications were evaluated by measuring the infrared spectra. Hyperspectral imaging was also applied to study the surface wood changes in the visible-near infrared and the short wave infrared wavelength ranges. The data obtained from the different techniques were compared to find the possible correlations in order to evaluate the applicability of the Hyperspectral imaging to investigate wood modifications in a non-invasive modality. The study of colour changes showed an important variation due to photo-irradiation which is the greatest change occurring within the first 24 hours. Infrared spectroscopy revealed that lignin degrades mainly in the first 48 hours. Concerning Hyperspectral imaging, the spectral features in the visible-near infrared range are mainly linked to the spectral shape, whereas in the short wave infrared cellulose and lignin affect shape and reflectance levels. The proposed approach showed that a correlation can be established between colour variation and wood degradation in the visible-near infrared range; furthermore in the short wave infrared region surface chemical changes can be assessed.

scholarly journals Hyperspectral imaging and characterization of allergic contact dermatitis in the short‐wave infrared

2020 ◽  
Vol 13 (9) ◽  
Author(s):  
Tommy Du ◽  
Deependra K. Mishra ◽  
Leonid Shmuylovich ◽  
Andy Yu ◽  
Helena Hurbon ◽  
...  
Keyword(s):  
Contact Dermatitis ◽  
Allergic Contact Dermatitis ◽  
Hyperspectral Imaging ◽  
Short Wave ◽  
Short Wave Infrared ◽  
Allergic Contact

scholarly journals Significantly enhanced photoresponse of carbon nanotube films modified with cesium tungsten bronze nanoclusters in the visible to short-wave infrared range

RSC Advances ◽  
2021 ◽  
Vol 11 (63) ◽  
pp. 39646-39656
Author(s):  
Hao Chen ◽  
Junyi Zhu ◽  
Yang Cao ◽  
Jinquan Wei ◽  
Bocheng Lv ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Visible Light ◽  
Composite Film ◽  
Tungsten Bronze ◽  
Infrared Region ◽  
Short Wave ◽  
Infrared Range ◽  
Average Increase ◽  
Specific Detectivity ◽  
Short Wave Infrared

Compared with CNT film detectors, the CsxWO3–CNT composite film detector shows a significantly enhanced photoresponse from visible light to short-wave infrared region, with an average increase of 400% in responsivity and 549% in specific detectivity.

Mineralogical and structural characterization of massive sulphide deposits in the Iberian Pyrite Belt using hyperspectral digital outcrops

2020 ◽  
Author(s):  
Moritz Kirsch ◽  
Sandra Lorenz ◽  
Samuel Thiele ◽  
Robert Zimmermann ◽  
Mahdi Khodadadzadeh ◽  
...  
Keyword(s):  
Point Clouds ◽  
Iberian Pyrite Belt ◽  
Short Wave ◽  
Massive Sulphide ◽  
Open Pit ◽  
Infrared Range ◽  
Volcanogenic Massive Sulphide ◽  
Host Rocks ◽  
Digital Outcrop

<p>In this contribution, we present integrated hyperspectral and photogrammetric models from three abandoned open pit mines in the Iberian Pyrite Belt: Corta Atalaya, Tharsis, and Peña de Hierro. On those three examples, we showcase the usefulness of these data for the characterization of volcanogenic massive sulphide (VMS) mineral deposits. The digital outcrop models are generated by co-registering Structure-from-Motion photogrammetric point clouds of the mine faces with radiometrically corrected hyperspectral images in the visible–near and short-wave infrared range. We then use advanced unmixing and supervised classification techniques to distinguish and map the massive sulphide and stockwork mineralization, their sedimentary, volcanic and volcaniclastic host rocks, and domains of hydrothermal and supergene alteration. The enhanced outcrop models also enable a semi-automatic delineation of discontinuities on the point clouds guided by changes in the hyperspectral attributes, and an estimation of structure orientations from their intersection with the surface to derive simple 3D geological models.</p>

scholarly journals Floating-base germanium-tin heterojunction phototransistor for high-efficiency photodetection in short-wave infrared range

2017 ◽  
Vol 25 (16) ◽  
pp. 18502 ◽  
Author(s):  
Wei Wang ◽  
Yuan Dong ◽  
Shuh-Ying Lee ◽  
Wan-Khai Loke ◽  
Dian Lei ◽  
...  
Keyword(s):  
High Efficiency ◽  
Short Wave ◽  
Infrared Range ◽  
Floating Base ◽  
Germanium Tin ◽  
Short Wave Infrared

scholarly journals Recycling-Oriented Characterization of Post-Earthquake Building Waste by Different Sensing Techniques

2021 ◽  
Vol 7 (9) ◽  
pp. 182
Author(s):  
Oriana Trotta ◽  
Giuseppe Bonifazi ◽  
Giuseppe Capobianco ◽  
Silvia Serranti
Keyword(s):  
Cement Mortar ◽  
Methodological Approach ◽  
Principal Component ◽  
Short Wave ◽  
Infrared Range ◽  
Classification Models ◽  
Chemometric Methods ◽  
X Ray ◽  
Non Destructive

In this paper, a methodological approach based on hyperspectral imaging (HSI) working in the short-wave infrared range (1000–2500 nm) was developed and applied for the recycling-oriented characterization of post-earthquake building waste. In more detail, the presence of residual cement mortar on the surface of tile fragments that can be recycled as aggregates was estimated. The acquired hyperspectral images were analyzed by applying different chemometric methods: principal component analysis (PCA) for data exploration and partial least-squares-discriminant analysis (PLS-DA) to build classification models. Micro-X-ray fluorescence (micro-XRF) maps were also obtained on the same samples in order to validate the HSI classification results. Results showed that it is possible to identify cement mortar on the surface of the recycled tile, evaluating its degree of liberation. The recognition is automatic and non-destructive and can be applied for recycling-oriented purposes at recycling plants.

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