Passive shortwave infrared technology and hyperspectral imaging for maritime applications

2010 ◽  
Author(s):  
K. Peter Judd ◽  
James R. Waterman ◽  
J. M. Nichols
Keyword(s):  
Hyperspectral Imaging ◽  
Infrared Technology ◽  
Shortwave Infrared

scholarly journals Identification of peat type and humification by laboratory VNIR/SWIR hyperspectral imaging of peat profiles with focus on fen-bog transition in aapa mires

2020 ◽  
Author(s):  
L. Granlund ◽  
M. Keinänen ◽  
T. Tahvanainen
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Support Vector ◽  
High Resolution Imaging ◽  
Factors Affecting ◽  
Vector Machines ◽  
Resolution Imaging ◽  
Shortwave Infrared ◽  
Type Classification ◽  
Wide Potential

Abstract Aims Hyperspectral imaging (HSI) has high potential for analysing peat cores, but methodologies are deficient. We aimed for robust peat type classification and humification estimation. We also explored other factors affecting peat spectral properties. Methods We used two laboratory setups: VNIR (visible to near-infrared) and SWIR (shortwave infrared) for high resolution imaging of intact peat profiles with fen-bog transitions. Peat types were classified with support vector machines, indices were developed for von Post estimation, and K-means clustering was used to analyse stratigraphic patterns in peat quality. With separate experiments, we studied spectral effects of drying and oxidation. Results Despite major effects, oxidation and water content did not impede robust HSI classification. The accuracy between Carex peat and Sphagnum peat in validation was 80% with VNIR and 81% with SWIR data. The spectral humification indices had accuracies of 82% with VNIR and 56%. Stratigraphic HSI patterns revealed that 36% of peat layer shifts were inclined by over 20 degrees. Spectral indices were used to extrapolate visualisations of element concentrations. Conclusions HSI provided reliable information of basic peat quality and was useful in visual mapping, that can guide sampling for other analyses. HSI can manage large amounts of samples to widen the scope of detailed analysis beyond single profiles and it has wide potential in peat research beyond the exploratory scope of this paper. We were able to confirm the capacity of HSI to reveal shifts of peat quality, connected to ecosystem-scale change.

Determination of the viability of retinispora (Hinoki cypress) seeds using shortwave infrared hyperspectral imaging spectroscopy

2020 ◽  
Vol 28 (2) ◽  
pp. 70-80 ◽  
Author(s):  
Perez Mukasa ◽  
Collins Wakholi ◽  
Akbar Faqeerzada Mohammad ◽  
Eunsoo Park ◽  
Jayoung Lee ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Hyperspectral Imaging ◽  
Imaging Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Successive Projections Algorithm ◽  
Hinoki Cypress ◽  
Sorting System ◽  
Shortwave Infrared ◽  
Successive Projections

The combination of hyperspectral imaging with multivariate data analysis methods has recently been applied to develop a nondestructive technique, required to determine the seed viability of artificially aged vegetable and cereal seeds. In this study, the potential of shortwave infrared hyperspectral imaging to determine the viability of naturally aged seeds was investigated and thereafter a model for online seed sorting system was developed. The hyperspectral images of 400 Hinoki cypress tree seeds were acquired, and germination tests were conducted for viability confirmation, which indicated 31.5% of the viable seeds. Partial least square discriminant analysis models with 179 variables in the wavelength region of 1000–1800 nm were developed with a maximum model accuracy of 98.4% and 93.8% in both the calibration and validation sets, respectively. The partial least square discriminant analysis beta coefficient revealed the key wavelengths to differentiate viable from nonviable seeds, determined based on the differences in the chemical compositions of the seeds, including their lipid and fatty acid contents, which may control the germination ability of the seeds. The most effective wavelengths were selected using two model-based variable selection methods (i.e., the variable importance of projection (15 variables) and the successive projections algorithm (8 variables)) to develop the model. The successive projections algorithm wavelength selection method was considered to develop a viability model, and its application to the raw data resulted in a prediction accuracy of 94.7% in the calibration set and 92.2% in the validation set. These results demonstrate the potential of shortwave infrared hyperspectral imaging spectroscopy as a powerful nondestructive method to determine the viability of Hinoki cypress seeds. This method could be applied to develop an online seed sorting system for seed companies and nurseries.

scholarly journals Ancient Greek text concealed on the back of unrolled papyrus revealed through shortwave-infrared hyperspectral imaging

2019 ◽  
Vol 5 (10) ◽  
pp. eaav8936 ◽  
Author(s):  
A. Tournié ◽  
K. Fleischer ◽  
I. Bukreeva ◽  
F. Palermo ◽  
M. Perino ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Multispectral Imaging ◽  
18Th Century ◽  
Primary Source ◽  
Greek Text ◽  
Ancient Greek ◽  
Substantial Impact ◽  
Text Reconstruction ◽  
Shortwave Infrared ◽  
The Way

Only a few Herculaneum rolls exhibit writing on their reverse side. Since unrolled papyri are permanently glued to paperboard, so far, this fact was known to us only from 18th-century drawings. The application of shortwave-infrared (SWIR; 1000-2500 nm) hyperspectral imaging (HSI) to one of them (PHerc. 1691/1021) has revealed portions of Greek text hidden on the back more than 220 years after their first discovery, making it possible to recover this primary source for the ongoing new edition of this precious book. SWIR HSI has produced better contrast and legibility even on the extensive text preserved on the front compared to former imaging of Herculaneum papyri at 950 nm (improperly called multispectral imaging), with a substantial impact on the text reconstruction. These promising results confirm the importance of advanced techniques applied to ancient carbonized papyri and open the way to a better investigation of hundreds of other such papyri.

Tower testing of a 64W shortwave infrared supercontinuum laser for use as a hyperspectral imaging illuminator

2014 ◽  
Author(s):  
Joseph Meola ◽  
Anthony Absi ◽  
Mohammed N. Islam ◽  
Lauren M. Peterson ◽  
Kevin Ke ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Supercontinuum Laser ◽  
Shortwave Infrared

Glare based apple sorting and iterative algorithm for bruise region detection using shortwave infrared hyperspectral imaging

2017 ◽  
Vol 130 ◽  
pp. 103-115 ◽  
Author(s):  
Janos C. Keresztes ◽  
Elien Diels ◽  
Mohammad Goodarzi ◽  
Nghia Nguyen-Do-Trong ◽  
Peter Goos ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Iterative Algorithm ◽  
Region Detection ◽  
Shortwave Infrared

Shortwave infrared hyperspectral imaging system coupled with multivariable method for TVB-N measurement in pork

Food Control ◽  
2020 ◽  
pp. 107854
Author(s):  
Insuck Baek ◽  
Hoonsoo Lee ◽  
Byoung-kwan Cho ◽  
Changyeun Mo ◽  
Diane E. Chan ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging System ◽  
Shortwave Infrared

Shortwave infrared (1.0–2.5 μm) hyperspectral imaging of the Athabasca West Grand Rapids Formation oil sands

AAPG Bulletin ◽  
2018 ◽  
Vol 102 (09) ◽  
pp. 1671-1683 ◽  
Author(s):  
Michelle Speta ◽  
Benoit Rivard ◽  
Jilu Feng
Keyword(s):  
Hyperspectral Imaging ◽  
Oil Sands ◽  
Grand Rapids ◽  
Shortwave Infrared

Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderia cepacia)-infected onions

2012 ◽  
Vol 109 (1) ◽  
pp. 38-48 ◽  
Author(s):  
Weilin Wang ◽  
Changying Li ◽  
Ernest W. Tollner ◽  
Ronald D. Gitaitis ◽  
Glen C. Rains
Keyword(s):  
Hyperspectral Imaging ◽  
Burkholderia Cepacia ◽  
Shortwave Infrared ◽  
Sour Skin
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