Wood Species Recognition Based on Visible and Near-Infrared Spectral Analysis Using Fuzzy Reasoning and Decision-Level Fusion

Table 3

Principal component 4 (PC4) data for the first ten wood species in the near-infrared (NIR) band.

Wood species	Minimum value	Mean value	Median value	Maximum value
Pterocarpus soyauxii	−0.292834701	−0.16041152	−0.169974712	0.007724295
Ulmus glabra	0.025315788	0.195750566	0.210818609	0.363952969
Calophyllum brasiliense	−0.192778352	−0.117200877	−0.117229875	−0.034786326
Intsia bijuga	−0.389917083	−0.139350711	−0.137772612	0.114471138
Tectona grandis	−0.057557826	0.148158636	0.153314903	0.280022623
Pouteria speciosa	−0.095030985	0.053811088	0.050028547	0.191835329
Quercus mongolica	−0.062964338	0.056146512	0.046516552	0.338022639
Magnolia fordiana	−0.154656742	−0.037434328	−0.048184982	0.126992175
Guibourtia ehie	−0.338868726	−0.178740936	−0.201291866	0.085960311
Terninalia catappa	−0.187178353	0.060716356	0.053703539	0.267102296