• Optics and Precision Engineering
  • Vol. 31, Issue 22, 3331 (2023)
Zhen DAI, Rong HE*, Hongtao WANG, and Weisen BAI
Author Affiliations
  • School of Surverying Land and Information Engineering, Henan Polytechnic University, Jiaozuo454000, China
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    DOI: 10.37188/OPE.20233122.3331 Cite this Article
    Zhen DAI, Rong HE, Hongtao WANG, Weisen BAI. Adaptive single tree extraction method based on fusion of airborne lidar and vegetation index[J]. Optics and Precision Engineering, 2023, 31(22): 3331 Copy Citation Text show less
    Overall flow chart
    Fig. 1. Overall flow chart
    Selection of visible light vegetation index
    Fig. 2. Selection of visible light vegetation index
    Comparison of fusion effects
    Fig. 3. Comparison of fusion effects
    Improvement process of marking watershed algorithm
    Fig. 4. Improvement process of marking watershed algorithm
    Initial data generation point cloud
    Fig. 5. Initial data generation point cloud
    SLAM elevation displays vegetation hierarchy
    Fig. 6. SLAM elevation displays vegetation hierarchy
    Vegetation subdivision results and influencing factors
    Fig. 7. Vegetation subdivision results and influencing factors
    Single tree segmentation overlay effect
    Fig. 8. Single tree segmentation overlay effect
    Comparison of multiple single tree segmentation algorithms
    Fig. 9. Comparison of multiple single tree segmentation algorithms
    Comparison accuracy evaluation of vegetation extraction results
    Fig. 10. Comparison accuracy evaluation of vegetation extraction results
    Vegetation IndexAbbreviationFormulaSource
    差异增强植被指数DEVI(G+R+B)/(3×G)文献[11
    红绿比值指数RGRIR/G文献[25
    可见光波段差异颜色指数VDVI(2×G-R-B)/(2×G+R+B)文献[10
    归一化绿红差异指数NGRDI(G-R)/(G+R)文献[26-27
    改进型绿红植被指数MGRVI(G2-R2)/(G2+R2文献[28
    Table 1. Visible vegetation index
    Vegetation indexTotal correct rateKappa系数
    DEVI97.3783.87
    RGRI73.0926.18
    VDVI91.7770.74
    MGRVI--
    NGRDI85.7645.11
    Table 2. Accuracy report of vegetation extraction
    Sample plotReal treeTPFNFPR/%P/%F1/%
    Sample 1897811887.690.789.1
    Sample 215214571295.392.393.8
    Sample 373639787.590.088.7
    Sample 4162140211586.985.886.4
    Total476426484289.889.589.7
    Table 3. Accuracy evaluation of single tree segmentation in MCWS algorithm
    Sample plotReal treeTPFNFPR/%P/%F1/%
    Sample 189818591.094.292.5
    Sample 21521520210098.799.3
    Sample 373666491.694.392.9
    Sample 4162143192088.287.788.0
    Total476442333193.093.493.2
    Table 4. Accuracy evaluation of single tree segmentation based on improved algorithm
    Zhen DAI, Rong HE, Hongtao WANG, Weisen BAI. Adaptive single tree extraction method based on fusion of airborne lidar and vegetation index[J]. Optics and Precision Engineering, 2023, 31(22): 3331
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