Zobrazeno 1 - 10
of 32
pro vyhledávání: '"James Burger"'
Autor:
Juan Antonio Fernández Pierna, Philippe Vermeulen, Damien Eylenbosch, James Burger, Bernard Bodson, Pierre Dardenne, Vincent Baeten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::275422aeb9435224e4f680b37a3c6c72
https://doi.org/10.1016/b978-0-12-409547-2.14811-5
https://doi.org/10.1016/b978-0-12-409547-2.14811-5
Publikováno v:
Wood Material Science & Engineering. 10:41-56
Wood density (ρMC) and basic specific gravity (BSG) are important properties in several forest products manufacturing processes. In this study, near-infrared hyperspectral images were tested to produce two-dimensional (2D) ρMC and BSG images of sub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::160b4f6ec7a6f3a4e5a8ecbc56872d12
https://doi.org/10.1080/17480272.2015.1011231
https://doi.org/10.1080/17480272.2015.1011231
Using near-infrared hyperspectral images on subalpine fir board. Part 1: Moisture content estimation
Publikováno v:
Wood Material Science & Engineering. 10:27-40
In this study, moisture content (MC) images of subalpine fir (abies lasiocarpa Hook) boards were derived from near-infrared hyperspectral images in the 947–1637 nm range. One hundred and seven cubic samples with the size of 4 cm were prepared from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53f0fb459b636e57a6a157141c919f43
https://doi.org/10.1080/17480272.2014.965743
https://doi.org/10.1080/17480272.2014.965743
Publikováno v:
Journal of Near Infrared Spectroscopy. 22:261-270
Calibration models developed from hyperspectral imaging data may be applied at the pixel level to generate prediction maps that estimate the spatial distribution of components in a sample. Such prediction maps facilitate direct visual interpretation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::452e0cbed42903d824d4471dbbcce7c0
https://doi.org/10.1255/jnirs.1114
https://doi.org/10.1255/jnirs.1114
Autor:
Brigitte Leblon, Rod Stirling, Ataollah Haddadi, Zarin Pirouz, Kevin Groves, James Burger, Guillaume Hans, Satoru Tsuchikawa, Armand LaRocque, Oluwatosin E. Adedipe, Joseph Nader
Publikováno v:
The Forestry Chronicle. 89:595-606
This review article examines past and current research on the application of near-infrared (NIR) reflectance/transmittance spectroscopy (NIRS) for real-time monitoring of moisture content and density of solid wood. Most of the applications of NIRS on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afd7e29e87e4ece96c7993e46331cad4
https://doi.org/10.5558/tfc2013-111
https://doi.org/10.5558/tfc2013-111
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 117:129-137
Natural variability in the morphology (shape and size) of samples presents a difficulty in the use of NIR spectral imaging for their quality assessment, since the spectral variability introduced can often overshadow the variability arising due to dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a05c9abe267659de05f61d3b48857d
https://doi.org/10.1016/j.chemolab.2012.02.006
https://doi.org/10.1016/j.chemolab.2012.02.006
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 117:169-182
NIR-infrared chemical imaging (NIR-CI) is a powerful technique to provide spatial and spectral information about the samples analyzed. NIR-CI presents a big potential to obtain accurate and reliable information about the quality of end products and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7270f144ff018fa511e1fef173a558cf
https://doi.org/10.1016/j.chemolab.2011.12.004
https://doi.org/10.1016/j.chemolab.2011.12.004
Autor:
Gerard Downey, Carlos Esquerre, Colm P. O'Donnell, Aoife Gowen, James Burger, Federico Marini
Publikováno v:
Analytica Chimica Acta. 705:272-282
Hyperspectral chemical imaging (HCI) integrates imaging and spectroscopy resulting in three-dimensional data structures, hypercubes, with two spatial and one wavelength dimension. Each spatial image pixel in a hypercube contains a spectrum with >100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7466285671ba4cfd0128359ba3a95d6
https://doi.org/10.1016/j.aca.2011.06.031
https://doi.org/10.1016/j.aca.2011.06.031
Autor:
James Burger, Aoife Gowen
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 108:13-22
Hyperspectral imaging (HSI) combines spectroscopy and imaging resulting in three dimensional multivariate data structures (‘hypercubes’). Each pixel in a hypercube contains a spectrum representing its light absorbing and scattering properties. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0664319a1ebedf323b4622a4d619edd
https://doi.org/10.1016/j.chemolab.2011.04.001
https://doi.org/10.1016/j.chemolab.2011.04.001
Autor:
Aoife Gowen, James Burger
Publikováno v:
NIR news. 22:12-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::125a78f64597b8c142711bdd2fdb90d1
https://doi.org/10.1255/nirn.1227
https://doi.org/10.1255/nirn.1227