Applicability of Vis-NIR hyperspectral imaging for monitoring wood moisture content (MC)

被引：62

作者：

Kobori, Hikaru ^{[1
]}

Gorretta, Nathalie ^{[2
]}

Rabatel, Gilles ^{[2
]}

Bellon-Maurel, Veronique ^{[2
]}

Chaix, Gilles ^{[3
]}

Roger, Jean-Michel ^{[2
]}

Tsuchikawa, Satoru ^{[4
]}

机构：

[1] Nagoya Univ, Grad Sch Bioagr Sci, Chikusa Ku, Nagoya, Aichi 4648601, Japan

[2] Irstea, UMR ITAP, F-34196 Montpellier, France

[3] CIRAD, UMR AGAP, F-34398 Montpellier 5, France

[4] Nagoya Univ, Grad Sch Bioagr Sci, Nagoya, Aichi 4648601, Japan

来源：

HOLZFORSCHUNG | 2013年 / 67卷 / 03期

基金：

日本学术振兴会;

关键词：

hyperspectral imaging; moisture content (MC); Vis-NIR spectroscopy; NEAR-INFRARED SPECTROSCOPY; FIBER SATURATION POINT; WATER; TOOL; PREDICTION; DENSITY; SPRUCE;

D O I：

10.1515/hf-2012-0054

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

Visible-near-infrared hyperspectral imaging was tested for its suitability for monitoring the moisture content (MC) of wood samples during natural drying. Partial least-squares regression (PLSR) prediction of MC was performed on the basis of average reflectance spectra obtained from hyperspectral images. The validation showed high prediction accuracy. The results were compared concerning the PLSR prediction of MC mapping from raw spectra and standard normal variate (SNV) treatment. SNV pretreatment leads to the best results for visualizing the MC distribution in wood. Hyperspectral imaging has a high potential for monitoring the water distribution of wood.

引用

页码：307 / 314

页数：8

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