Scientia Silvae Sinicae ›› 2021, Vol. 57 ›› Issue (5): 119-129.doi: 10.11707/j.1001-7488.20210511
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Jiaqi You,Mingze Li*,Wenyi Fan,Ying Quan,Bin Wang,Zhukun Mo,Zixiao Zhu
Received:
2020-04-10
Online:
2021-05-25
Published:
2021-07-09
Contact:
Mingze Li
CLC Number:
Jiaqi You,Mingze Li,Wenyi Fan,Ying Quan,Bin Wang,Zhukun Mo,Zixiao Zhu. Stand Type Identification Based on Hyperspectral and LiDAR Data[J]. Scientia Silvae Sinicae, 2021, 57(5): 119-129.
Table 1
Calculation formula of hyperspectral data extraction features"
特征类型 Feature type | 特征名称 Feature name | 描述或公式 Description or formula |
植被指数 Vegetation index | 归一化植被指数 Normalized differential vegetation index | 式中:ρNIR为近红外波段反射率,ρRED为红光波段反射率 In the formula: ρNIR is the reflectance of near-infrared band, ρRED is the reflectance of RED band |
增强型植被指数 Enhanced vegetation index | 式中:ρBLUE为蓝光波段反射率 In the formula: ρBLUE is the reflectance of BLUE band | |
比值植被指数 Ratio vegetation index | ||
大气阻抗植被指数 Atmospherically resistant vegetation index | ||
改进红边归一化植被指数 Modified red edge NDVI | 式中:ρ750为750波段反射率,ρ705为705波段反射率,ρ445为445波段反射率 In the formula: ρ750 is the reflectance of 750 band, ρ705 is the reflectance of 705 band, and ρ445 is the reflectance of 445 band | |
红边归一化植被指数 Red edge NDVI | ||
光化学反射指数 Photochemical reflectance index | 式中:ρ531为531波段反射率,ρ570为570波段反射率 In the formula: ρ531 is the reflectance of 531 band, ρ570 is the reflectance of 570 band | |
植物衰老反射指数 Plant senescence reflectance index | 式中:ρ680为680波段反射率,ρ500为500波段反射率 In the formula: ρ680 is the reflectance of 680 band, ρ500 is the reflectance of 500 band | |
Vogelmann红边指数1 Vogelmann red edge index 1 | 式中:ρ740为740波段反射率,ρ720为720波段反射率 In the formula: ρ740 is the reflectance of 740 band, ρ720 is the reflectance of 720 band | |
水波段指数 Water band index | 式中:ρ900为900波段反射率,ρ970为970波段反射率 In the formula: ρ900 is the reflectance of 900 band, ρ970 is the reflectance of 970 band | |
叶绿素指数 Chlorophyll index | MERIS陆地叶绿素指数 MERIS terrestrial chlorophyll index | 式中:ρ753.75为753.75波段反射率,ρ708.75为708.75波段反射率,ρ681.25为681.25波段反射率 In the formula: ρ753.75 is the reflectance of the 753.75 band, ρ708.75 is the reflectance of the 708.75 band, and ρ681.25 is the reflectance of the 681.25 band |
改进的MERIS陆地叶绿素指数 Modified MTCI | 式中:ρ750为750波段反射率,ρ710为710波段反射率,ρ680为680波段反射率 In the formula: ρ750 is the reflectance of the 750 band, ρ710 is the reflectance of the 710 band, and ρ680 is the reflectance of the 680 band |
Table 2
Sample size of each stands"
项目 Item | 阔叶混交林 Broad-leaved mixed forest | 樟子松林 P. sylvestris var. mongolica forest | 落叶松林 L. gmelinii forest | 红松林 P. koraiensis forest | 蒙古栎林 Q. mongolica forest | 总计 Total |
训练样本Training sample | 1 358 | 374 | 224 | 74 | 47 | 2 077 |
检验样本Validation sample | 453 | 125 | 75 | 25 | 16 | 692 |
样本量Sample size | 1 810 | 499 | 299 | 98 | 63 | 2 769 |
Fig.4
Importance ranking of selected features a, b and c are the characteristic variables reserved by LiDAR, hyperspectral and LiDAR+ hyperspectral respectively. AII_90% is 90% of the cumulative intensity of all echoes; H1_max is the maximum value of the first echo height; I1_1% is 1% of the first echo intensity; I_min is the minimum value of all echo intensities; I_max is the maximum value of all echo intensities; I1_cv is the deviation of the first echo intensity; I_90% is 90% of all echo intensities; H_mean is the average of all echo heights; AIH_99% is 99% of the cumulative height of all echoes; I_95% is 95% of all echo intensities; H_95% is 95% of all echo heights; green_range is the average gray value range within the convolution kernel of green band; blue_mean is the gray value of convolution kernel range in blue band; green_mean is the gray value of convolution kernel range in green band; red_range is the average gray value range within the convolution kernel of red band."
Table 3
Classification results of RF and SVM classifiers"
指标Indicator | 随机森林RF | 支持向量机SVM | ||||||
高光谱影像+激光雷达点云 Hyperspectral+ LiDAR | 高光谱影像 Hyperspectral | 激光雷达点 云LiDAR | 高光谱影像+激光雷达点云 Hyperspectral+ LiDAR | 高光谱影像 Hyperspectral | 激光雷达 点云LiDAR | |||
总体精度OA(%) | 88.02 | 84.13 | 76.62 | 84.42 | 82.97 | 76.19 | ||
Kappa系数Kappa coefficient | 0.77 | 0.69 | 0.52 | 0.71 | 0.68 | 0.53 | ||
阔叶混交林 Broad-leaved mixed forest | 生产者精度PA (%) | 95.32 | 93.60 | 85.89 | 94.13 | 93.78 | 85.68 | |
用户精度UA (%) | 94.07 | 92.78 | 92.51 | 92.05 | 93.16 | 91.17 | ||
落叶松林 L. gmelinii forest | 生产者精度PA (%) | 76.81 | 61.54 | 52.31 | 71.67 | 62.50 | 56.36 | |
用户精度UA (%) | 70.67 | 46.38 | 45.33 | 57.33 | 53.33 | 41.33 | ||
樟子松林 P. sylvestris var. mongolica forest | 生产者精度PA (%) | 73.29 | 66.04 | 50.88 | 65.82 | 66.67 | 55.37 | |
用户精度UA (%) | 85.60 | 80.77 | 46.03 | 83.20 | 75.20 | 53.60 | ||
红松林 P. koraiensis forest | 生产者精度PA (%) | 72.22 | 66.67 | 70.59 | 76.47 | 52.38 | 45.45 | |
用户精度UA (%) | 54.17 | 52.17 | 50.00 | 54.17 | 45.83 | 41.67 | ||
蒙古栎林 Q.mongolicaforest | 生产者精度PA (%) | 81.82 | 90.91 | 87.50 | 53.33 | 47.06 | 53.85 | |
用户精度UA (%) | 64.29 | 71.43 | 50.00 | 50.00 | 50.00 | 43.75 |
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