基于多源数据及三层模型的小班林型识别

黄健, 吴达胜, 方陆明

Identification of sub-compartment forest type based on multi-source data and three-tier models

HUANG Jian, WU Dasheng, FANG Luming

表4 基于3种自变量组合方案及3种算法模型的精度比较

Table 4 Accuracy comparison based on three independent variable combination schemes and three classification models

模型 model	方案 plan	用户精度/% UA			总体精度/% OA	模型训练时间/s model training time
模型 model	方案 plan	阔叶林 (含阔叶混交林) broad-leaved forest (including broad- leaved mixed forest)	针叶林 coniferous forest	经济林 no-woods forest	总体精度/% OA	模型训练时间/s model training time
RF	1	66.34	78.11	80.40	75.13	16.16
	2	66.84	79.16	80.70	75.73	15.15
	3	67.86	79.38	81.21	76.31	18.90
XGBoost	1	70.94	79.74	83.84	78.44	49.45
	2	71.75	80.22	84.02	78.92	52.89
	3	72.19	81.06	85.04	79.70	59.76
LightGBM	1	72.42	80.03	84.07	79.05	1.29
	2	72.80	80.58	85.27	79.79	1.35
	3	73.96	81.71	85.93	80.76	1.45