Using near-infrared hyperspectral images on subalpine fir board. Part 1: Moisture content estimation

摘要: AbstractIn this study, moisture content (MC) images of subalpine fir (abies lasiocarpa Hook) boards were derived from near-infrared hyperspectral in the 947–1637 nm range. One hundred and seven cubic samples with size 4 cm prepared 14 boards. All dried to various MCs during several steps until being completely dried. Hyperspectral weight measurements acquired over each sample at drying step. The have MC ranging 1% 137% (dry basis). first calibrated into reflectance. Then, bad pixels found replaced by a corrected value using median filter. A modified version boxplot method was used find abnormal spectra that then removed. remaining converted absorbance spectra. They split calibration validation data-set according they extracted build validate partial least squares (PLS) regression model between abs...