Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range
Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completel...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Watanabe, Ken [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2010 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Springer-Verlag 2010 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Holz als Roh- und Werkstoff - Springer-Verlag, 1937, 70(2010), 1-3 vom: 16. Okt., Seite 61-67 |
|---|---|
| Übergeordnetes Werk: |
volume:70 ; year:2010 ; number:1-3 ; day:16 ; month:10 ; pages:61-67 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00107-010-0490-2 |
|---|
| Katalog-ID: |
OLC209642710X |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | OLC209642710X | ||
| 003 | DE-627 | ||
| 005 | 20230401020819.0 | ||
| 007 | tu | ||
| 008 | 230401s2010 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s00107-010-0490-2 |2 doi | |
| 035 | |a (DE-627)OLC209642710X | ||
| 035 | |a (DE-He213)s00107-010-0490-2-p | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 670 |q VZ |
| 082 | 0 | 4 | |a 670 |q VZ |
| 084 | |a 23 |2 ssgn | ||
| 100 | 1 | |a Watanabe, Ken |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range |
| 264 | 1 | |c 2010 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a © Springer-Verlag 2010 | ||
| 520 | |a Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. | ||
| 650 | 4 | |a Partial Little Square | |
| 650 | 4 | |a Partial Less Square Discriminant Analysis | |
| 650 | 4 | |a Green State | |
| 650 | 4 | |a Normal Wood | |
| 650 | 4 | |a Partial Less Square Regression Model | |
| 700 | 1 | |a Mansfield, Shawn D. |4 aut | |
| 700 | 1 | |a Avramidis, Stavros |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Holz als Roh- und Werkstoff |d Springer-Verlag, 1937 |g 70(2010), 1-3 vom: 16. Okt., Seite 61-67 |w (DE-627)129594962 |w (DE-600)240590-8 |w (DE-576)015087867 |x 0018-3768 |7 nnns |
| 773 | 1 | 8 | |g volume:70 |g year:2010 |g number:1-3 |g day:16 |g month:10 |g pages:61-67 |
| 856 | 4 | 1 | |u https://doi.org/10.1007/s00107-010-0490-2 |z lizenzpflichtig |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-CHE | ||
| 912 | |a SSG-OLC-FOR | ||
| 912 | |a SSG-OPC-FOR | ||
| 951 | |a AR | ||
| 952 | |d 70 |j 2010 |e 1-3 |b 16 |c 10 |h 61-67 | ||
| author_variant |
k w kw s d m sd sdm s a sa |
|---|---|
| matchkey_str |
article:00183768:2010----::epcecasfctoiaisaicrasnsetocpiteii |
| hierarchy_sort_str |
2010 |
| publishDate |
2010 |
| allfields |
10.1007/s00107-010-0490-2 doi (DE-627)OLC209642710X (DE-He213)s00107-010-0490-2-p DE-627 ger DE-627 rakwb eng 670 VZ 670 VZ 23 ssgn Watanabe, Ken verfasserin aut Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. Partial Little Square Partial Less Square Discriminant Analysis Green State Normal Wood Partial Less Square Regression Model Mansfield, Shawn D. aut Avramidis, Stavros aut Enthalten in Holz als Roh- und Werkstoff Springer-Verlag, 1937 70(2010), 1-3 vom: 16. Okt., Seite 61-67 (DE-627)129594962 (DE-600)240590-8 (DE-576)015087867 0018-3768 nnns volume:70 year:2010 number:1-3 day:16 month:10 pages:61-67 https://doi.org/10.1007/s00107-010-0490-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OPC-FOR AR 70 2010 1-3 16 10 61-67 |
| spelling |
10.1007/s00107-010-0490-2 doi (DE-627)OLC209642710X (DE-He213)s00107-010-0490-2-p DE-627 ger DE-627 rakwb eng 670 VZ 670 VZ 23 ssgn Watanabe, Ken verfasserin aut Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. Partial Little Square Partial Less Square Discriminant Analysis Green State Normal Wood Partial Less Square Regression Model Mansfield, Shawn D. aut Avramidis, Stavros aut Enthalten in Holz als Roh- und Werkstoff Springer-Verlag, 1937 70(2010), 1-3 vom: 16. Okt., Seite 61-67 (DE-627)129594962 (DE-600)240590-8 (DE-576)015087867 0018-3768 nnns volume:70 year:2010 number:1-3 day:16 month:10 pages:61-67 https://doi.org/10.1007/s00107-010-0490-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OPC-FOR AR 70 2010 1-3 16 10 61-67 |
| allfields_unstemmed |
10.1007/s00107-010-0490-2 doi (DE-627)OLC209642710X (DE-He213)s00107-010-0490-2-p DE-627 ger DE-627 rakwb eng 670 VZ 670 VZ 23 ssgn Watanabe, Ken verfasserin aut Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. Partial Little Square Partial Less Square Discriminant Analysis Green State Normal Wood Partial Less Square Regression Model Mansfield, Shawn D. aut Avramidis, Stavros aut Enthalten in Holz als Roh- und Werkstoff Springer-Verlag, 1937 70(2010), 1-3 vom: 16. Okt., Seite 61-67 (DE-627)129594962 (DE-600)240590-8 (DE-576)015087867 0018-3768 nnns volume:70 year:2010 number:1-3 day:16 month:10 pages:61-67 https://doi.org/10.1007/s00107-010-0490-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OPC-FOR AR 70 2010 1-3 16 10 61-67 |
| allfieldsGer |
10.1007/s00107-010-0490-2 doi (DE-627)OLC209642710X (DE-He213)s00107-010-0490-2-p DE-627 ger DE-627 rakwb eng 670 VZ 670 VZ 23 ssgn Watanabe, Ken verfasserin aut Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. Partial Little Square Partial Less Square Discriminant Analysis Green State Normal Wood Partial Less Square Regression Model Mansfield, Shawn D. aut Avramidis, Stavros aut Enthalten in Holz als Roh- und Werkstoff Springer-Verlag, 1937 70(2010), 1-3 vom: 16. Okt., Seite 61-67 (DE-627)129594962 (DE-600)240590-8 (DE-576)015087867 0018-3768 nnns volume:70 year:2010 number:1-3 day:16 month:10 pages:61-67 https://doi.org/10.1007/s00107-010-0490-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OPC-FOR AR 70 2010 1-3 16 10 61-67 |
| allfieldsSound |
10.1007/s00107-010-0490-2 doi (DE-627)OLC209642710X (DE-He213)s00107-010-0490-2-p DE-627 ger DE-627 rakwb eng 670 VZ 670 VZ 23 ssgn Watanabe, Ken verfasserin aut Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. Partial Little Square Partial Less Square Discriminant Analysis Green State Normal Wood Partial Less Square Regression Model Mansfield, Shawn D. aut Avramidis, Stavros aut Enthalten in Holz als Roh- und Werkstoff Springer-Verlag, 1937 70(2010), 1-3 vom: 16. Okt., Seite 61-67 (DE-627)129594962 (DE-600)240590-8 (DE-576)015087867 0018-3768 nnns volume:70 year:2010 number:1-3 day:16 month:10 pages:61-67 https://doi.org/10.1007/s00107-010-0490-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OPC-FOR AR 70 2010 1-3 16 10 61-67 |
| language |
English |
| source |
Enthalten in Holz als Roh- und Werkstoff 70(2010), 1-3 vom: 16. Okt., Seite 61-67 volume:70 year:2010 number:1-3 day:16 month:10 pages:61-67 |
| sourceStr |
Enthalten in Holz als Roh- und Werkstoff 70(2010), 1-3 vom: 16. Okt., Seite 61-67 volume:70 year:2010 number:1-3 day:16 month:10 pages:61-67 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Partial Little Square Partial Less Square Discriminant Analysis Green State Normal Wood Partial Less Square Regression Model |
| dewey-raw |
670 |
| isfreeaccess_bool |
false |
| container_title |
Holz als Roh- und Werkstoff |
| authorswithroles_txt_mv |
Watanabe, Ken @@aut@@ Mansfield, Shawn D. @@aut@@ Avramidis, Stavros @@aut@@ |
| publishDateDaySort_date |
2010-10-16T00:00:00Z |
| hierarchy_top_id |
129594962 |
| dewey-sort |
3670 |
| id |
OLC209642710X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC209642710X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230401020819.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230401s2010 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00107-010-0490-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC209642710X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00107-010-0490-2-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">23</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Watanabe, Ken</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2010</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Partial Little Square</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Partial Less Square Discriminant Analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Green State</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Normal Wood</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Partial Less Square Regression Model</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mansfield, Shawn D.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Avramidis, Stavros</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Holz als Roh- und Werkstoff</subfield><subfield code="d">Springer-Verlag, 1937</subfield><subfield code="g">70(2010), 1-3 vom: 16. Okt., Seite 61-67</subfield><subfield code="w">(DE-627)129594962</subfield><subfield code="w">(DE-600)240590-8</subfield><subfield code="w">(DE-576)015087867</subfield><subfield code="x">0018-3768</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:70</subfield><subfield code="g">year:2010</subfield><subfield code="g">number:1-3</subfield><subfield code="g">day:16</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:61-67</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00107-010-0490-2</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-FOR</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">70</subfield><subfield code="j">2010</subfield><subfield code="e">1-3</subfield><subfield code="b">16</subfield><subfield code="c">10</subfield><subfield code="h">61-67</subfield></datafield></record></collection>
|
| author |
Watanabe, Ken |
| spellingShingle |
Watanabe, Ken ddc 670 ssgn 23 misc Partial Little Square misc Partial Less Square Discriminant Analysis misc Green State misc Normal Wood misc Partial Less Square Regression Model Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range |
| authorStr |
Watanabe, Ken |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129594962 |
| format |
Article |
| dewey-ones |
670 - Manufacturing |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0018-3768 |
| topic_title |
670 VZ 23 ssgn Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range Partial Little Square Partial Less Square Discriminant Analysis Green State Normal Wood Partial Less Square Regression Model |
| topic |
ddc 670 ssgn 23 misc Partial Little Square misc Partial Less Square Discriminant Analysis misc Green State misc Normal Wood misc Partial Less Square Regression Model |
| topic_unstemmed |
ddc 670 ssgn 23 misc Partial Little Square misc Partial Less Square Discriminant Analysis misc Green State misc Normal Wood misc Partial Less Square Regression Model |
| topic_browse |
ddc 670 ssgn 23 misc Partial Little Square misc Partial Less Square Discriminant Analysis misc Green State misc Normal Wood misc Partial Less Square Regression Model |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| hierarchy_parent_title |
Holz als Roh- und Werkstoff |
| hierarchy_parent_id |
129594962 |
| dewey-tens |
670 - Manufacturing |
| hierarchy_top_title |
Holz als Roh- und Werkstoff |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129594962 (DE-600)240590-8 (DE-576)015087867 |
| title |
Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range |
| ctrlnum |
(DE-627)OLC209642710X (DE-He213)s00107-010-0490-2-p |
| title_full |
Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range |
| author_sort |
Watanabe, Ken |
| journal |
Holz als Roh- und Werkstoff |
| journalStr |
Holz als Roh- und Werkstoff |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2010 |
| contenttype_str_mv |
txt |
| container_start_page |
61 |
| author_browse |
Watanabe, Ken Mansfield, Shawn D. Avramidis, Stavros |
| container_volume |
70 |
| class |
670 VZ 23 ssgn |
| format_se |
Aufsätze |
| author-letter |
Watanabe, Ken |
| doi_str_mv |
10.1007/s00107-010-0490-2 |
| dewey-full |
670 |
| title_sort |
wet-pocket classification in abies lasiocarpa using spectroscopy in the visible and near infrared range |
| title_auth |
Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range |
| abstract |
Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. © Springer-Verlag 2010 |
| abstractGer |
Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. © Springer-Verlag 2010 |
| abstract_unstemmed |
Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood. © Springer-Verlag 2010 |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-FOR SSG-OPC-FOR |
| container_issue |
1-3 |
| title_short |
Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range |
| url |
https://doi.org/10.1007/s00107-010-0490-2 |
| remote_bool |
false |
| author2 |
Mansfield, Shawn D. Avramidis, Stavros |
| author2Str |
Mansfield, Shawn D. Avramidis, Stavros |
| ppnlink |
129594962 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s00107-010-0490-2 |
| up_date |
2024-07-04T03:30:44.363Z |
| _version_ |
1803617665675165696 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC209642710X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230401020819.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230401s2010 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00107-010-0490-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC209642710X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00107-010-0490-2-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">23</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Watanabe, Ken</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Wet-pocket classification in Abies lasiocarpa using spectroscopy in the visible and near infrared range</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag 2010</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The potential of visible and near infrared (Vis-NIR) spectroscopy to distinguish wet-pockets from normal subalpine fir (Abies lasiocarpa Hook) wood was evaluated. Two specimen classes were used, namely, wood with more than half of the surfaces covered by wet-pockets (WW), and wood completely free of wet-pockets (NW). A partial least square (PLS) regression model was derived and calibrated to predict moisture content ranging from 0 to 210%, and its usefulness for moisture-based sorting of green lumber was assessed. Samples were sorted into the two classes after Vis-NIR scanning via two models: (1) soft independent modeling of class analogy (SIMCA) and (2) PLS discriminant analysis. The SIMCA model using second derivatives and wavelengths spanning 650 to 1150 nm successfully classified 98% of WW and NW in the green state, while it resulted in misclassification of 96% of the specimens after air-drying. The discriminant PLS model using wavelengths spanning 650–1150 nm, correctly classified WW and NW 96% in the green state and 100% after air-drying, respectively. These results clearly demonstrate the applicability of Vis-NIR spectroscopy to discriminate wet-pockets from normal wood.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Partial Little Square</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Partial Less Square Discriminant Analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Green State</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Normal Wood</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Partial Less Square Regression Model</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mansfield, Shawn D.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Avramidis, Stavros</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Holz als Roh- und Werkstoff</subfield><subfield code="d">Springer-Verlag, 1937</subfield><subfield code="g">70(2010), 1-3 vom: 16. Okt., Seite 61-67</subfield><subfield code="w">(DE-627)129594962</subfield><subfield code="w">(DE-600)240590-8</subfield><subfield code="w">(DE-576)015087867</subfield><subfield code="x">0018-3768</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:70</subfield><subfield code="g">year:2010</subfield><subfield code="g">number:1-3</subfield><subfield code="g">day:16</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:61-67</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s00107-010-0490-2</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-FOR</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">70</subfield><subfield code="j">2010</subfield><subfield code="e">1-3</subfield><subfield code="b">16</subfield><subfield code="c">10</subfield><subfield code="h">61-67</subfield></datafield></record></collection>
|
| score |
7.3997936 |