Scientia Silvae Sinicae ›› 2021, Vol. 57 ›› Issue (11): 105-118.doi: 10.11707/j.1001-7488.20211111
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Ting Ma,Chonggui Li*,Fuquan Tang,Jie Lü
Received:
2020-09-24
Online:
2021-11-25
Published:
2022-01-12
Contact:
Chonggui Li
CLC Number:
Ting Ma,Chonggui Li,Fuquan Tang,Jie Lü. Extraction of Larch Plantation Based on Multi-Classifier Ensemble[J]. Scientia Silvae Sinicae, 2021, 57(11): 105-118.
Table 1
Image basic information"
影像Image | 产品号Product ID | 成像时间Imaging date | 条带号Path | 行编号Row | 幅宽Width/km2 | 分辨率Resolution/m |
Landsat8 OLI | LC81150282016005LGN00 | 2016-01-04 | 115 | 28 | 185×170 | 15/30 |
LC81150282018010LGN00 | 2018-01-10 | |||||
LC81150282018026LGN00 | 2018-01-26 | |||||
LC81150282018042LGN00 | 2018-02-11 | |||||
LC81150282018074LGN00 | 2018-03-15 | |||||
LC81150282018090LGN00 | 2018-03-31 | |||||
LC81150282018106LGN00 | 2018-04-16 | |||||
LC81150282016133LGN01 | 2016-05-12 | |||||
LC81150282017167LGN00 | 2017-06-16 | |||||
LC81150282017199LGN00 | 2017-07-18 | |||||
LC81150282017231LGN00 | 2017-08-19 | |||||
LC81150282017279LGN00 | 2017-10-06 | |||||
LC81150282017295LGN00 | 2017-10-22 | |||||
LC81150282015306LGN02 | 2015-11-02 | |||||
LC81150282017343LGN01 | 2017-12-09 | |||||
LC81150282017359LGN00 | 2017-12-25 | |||||
GF-1 PMS1 | 2338810 | 2017-05-02 | 586 | 76 | 60×60 | 2/8 |
2338811 | 2017-05-02 | 586 | 77 |
Table 2
Classification data set"
数据集Data set | 分类方案Classification scheme | 属性类别Type of feature |
单一特征影像 Single feature image | 生长期Growth period | 4月Landsat8 OLI影像光谱波段Spectral bands of Landsat8 OLI images in April |
生长旺盛期Vigorous growth period | 6月Landsat8 OLI影像光谱波段Spectral bands of Landsat8 OLI images in June | |
落叶期Deciduous period | 10月Landsat8 OLI影像光谱波段Spectral bands of Landsat8 OLI images in October | |
多时相Multi-temporal | 4月+10月Landsat8 OLI影像光谱波段Spectral bands of Landsat8 OLI images in April & October | |
NIR-SWIR多特征数据集 NIR-SWIR multi-feature data | 生长期Growth period | 4月Landsat8影像中的NIR、SWIR1、SWIR2波段+VIM筛选的特征集+形状因子+面积因子NIR, SWIR1, SWIR2 bands in Landsat8 images in April + VIM screening feature set + shape factor + area factor |
生长旺盛期Vigorous growth period | 6月Landsat8影像中的NIR、SWIR1、SWIR2波段+VIM筛选的特征集+形状因子+面积因子NIR, SWIR1, SWIR2 bands in Landsat8 images in June + VIM screening feature set + shape factor + area factor | |
落叶期Deciduous period | 10月Landsat8影像中的NIR、SWIR1、SWIR2波段+VIM筛选的特征集+形状因子+面积因子NIR, SWIR1, SWIR2 bands in Landsat8 images in October + VIM screening feature set + shape factor + area factor | |
多时相Multi-temporal | 4月Landsat8影像中的NIR、SWIR1、SWIR2波段+10月Landsat8影像中的NIR、SWIR1、SWIR2波段+VIM筛选的特征集+形状因子+面积因子NIR, SWIR1, SWIR2 bands in Landsat8 images in April + NIR, SWIR1, SWIR2 bands in Landsat8 images in October + VIM screening feature set + shape factor + area factor |
Table 3
Single feature sub-classifier overall accuracy and weight coefficient"
子分类器 Sub-classifier | 生长期 Growth period(%) | 生长旺盛期 Vigorous growth period(%) | 落叶期 Deciduous period(%) | 多时相 Multi-temporal(%) | |||||||||||||||||||
PA | UA | WC | OA | Kappa | PA | UA | WC | OA | Kappa | PA | UA | WC | OA | Kappa | PA | UA | WC | OA | Kappa | ||||
MLC | 83.1 | 97.4 | 26.5 | 80.5 | 0.70 | 66.9 | 89.7 | 23.8 | 70.1 | 0.62 | 84.5 | 96.1 | 25.7 | 81.4 | 0.71 | 85.5 | 97.2 | 26.8 | 83.5 | 0.72 | |||
RF | 77.1 | 93.6 | 24.8 | 79.1 | 0.70 | 75.5 | 88.3 | 24.9 | 73.6 | 0.64 | 79.3 | 93.6 | 24.6 | 80.5 | 0.70 | 80.4 | 95.6 | 23.5 | 82.1 | 0.71 | |||
SVM | 70.5 | 88.3 | 23.1 | 73.2 | 0.64 | 76.3 | 89.9 | 25.3 | 74.5 | 0.65 | 73.2 | 90.3 | 23.3 | 76.1 | 0.67 | 79.3 | 94.5 | 22.2 | 79.3 | 0.70 | |||
BP | 80.3 | 95.7 | 25.6 | 80.3 | 0.70 | 79.5 | 91.6 | 26.0 | 78.6 | 0.69 | 87.1 | 98.5 | 26.4 | 82.9 | 0.71 | 86.1 | 96.9 | 27.5 | 86.5 | 0.73 |
Table 4
Overall accuracy and weight coefficient of sub-classifier based on NIR-SWIR multi-feature data set"
子分类器 Sub-classifier | 生长期 Growth period(%) | 生长旺盛期 Vigorous growth period(%) | 落叶期 Deciduous period(%) | 多时相 Multi-temporal(%) | |||||||||||||||||||
PA | UA | WC | OA | Kappa | PA | UA | WC | OA | Kappa | PA | UA | WC | OA | Kappa | PA | UA | WC | OA | Kappa | ||||
MLC | 95.4 | 99.9 | 27.3 | 82.1 | 0.71 | 70.8 | 82.3 | 22.1 | 73.1 | 0.64 | 96.1 | 99.8 | 28.5 | 84.0 | 0.72 | 92.4 | 100.0 | 24.2 | 84.1 | 0.72 | |||
RF | 81.1 | 91.1 | 23.2 | 80.3 | 0.70 | 79.2 | 91.9 | 24.7 | 73.7 | 0.64 | 81.4 | 89.4 | 22.5 | 81.3 | 0.71 | 94.7 | 99.2 | 25.3 | 83.5 | 0.72 | |||
SVM | 80.3 | 90.3 | 23.0 | 78.1 | 0.69 | 81.2 | 94.2 | 25.3 | 76.2 | 0.67 | 86.1 | 94.6 | 23.8 | 78.7 | 0.69 | 96.2 | 100.0 | 25.8 | 81.3 | 0.71 | |||
BP | 92.6 | 99.8 | 26.5 | 81.2 | 0.71 | 89.5 | 99.8 | 27.9 | 78.8 | 0.69 | 94.8 | 99.9 | 26.2 | 83.9 | 0.72 | 91.7 | 99.2 | 24.7 | 87.1 | 0.74 |
Table 5
Classification results of multiple classifier combinations"
指标 Indicators | 单一特征影像Single feature data | NIR-SWIR多特征数据集NIR-SWIR multi-feature data | |||||||
生长期 Growth period | 生长旺盛期 Vigorous growth period | 落叶期 Deciduous period | 多时相 Multi-temporal | 生长期 Growth period | 生长旺盛期 Vigorous growth period | 落叶期 Deciduous period | 多时相 Multi-temporal | ||
PA(%) | 84.2 | 80.0 | 88.9 | 89.3 | 87.4 | 80.2 | 90.5 | 95.4 | |
UA(%) | 97.3 | 89.9 | 98.9 | 93.5 | 98.2 | 93.1 | 99.4 | 99.2 | |
OA(%) | 83.5 | 80.8 | 85.9 | 88.2 | 88.3 | 80.9 | 90.6 | 93.7 | |
Kappa | 0.71 | 0.71 | 0.73 | 0.74 | 0.74 | 0.71 | 0.82 | 0.89 |
Table 6
Area statistics and comparative analysis of larch plantations"
生长期 Growth period | 生长旺盛期 Vigorous growth period | 落叶期 Deciduous period | 多时相 Multi-temporal | |
森林资源调查统计面积 Forest inventory survey statistical area/hm2 | 5 268.6 | |||
分类提取面积 Classification extraction area/hm2 | 4 220.2 | 3 661.7 | 4 750.2 | 5 073.6 |
面积提取精度 Area extraction accuracy (%) | 80.1 | 69.5 | 90.2 | 96.3 |
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