Zobrazeno 1 - 10
of 231
pro vyhledávání: '"James Burger"'
Autor:
Davis, Lynn
James A. Burger of Blacksburg, professor of forestry in the College of Natural Resources at Virginia Tech, has been appointed the Garland Gray Professor of Forestry by the Virginia Tech Board of Visitors during the board's quarterly meeting March 26.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2485::f67a08b23892950306c7d239943cfcab
https://hdl.handle.net/10919/58608
https://hdl.handle.net/10919/58608
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