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森林结构复杂度对单木分割精度的影响

马金超 郭振 许昊 宁焕杉 沈家伟 张志卫

生态学报2024,Vol.44Issue(11):4770-4781,12.
生态学报2024,Vol.44Issue(11):4770-4781,12.DOI:10.20103/j.stxb.202310092169

森林结构复杂度对单木分割精度的影响

Effect of forest structure complexity on single wood segmentation accuracy:a case study of Tianheng Island

马金超 1郭振 1许昊 1宁焕杉 2沈家伟 3张志卫3

作者信息

  • 1. 山东科技大学测绘与空间信息学院,青岛 266590||自然资源部第一海洋研究所海岸带科学与海洋发展战略研究中心,青岛 266061
  • 2. 山东科技大学测绘与空间信息学院,青岛 266590
  • 3. 自然资源部第一海洋研究所海岸带科学与海洋发展战略研究中心,青岛 266061
  • 折叠

摘要

Abstract

The individual tree segmentation is of great significance for forest resource surveys.The accuracy of segmentation is profoundly influenced by the choice of the forest single-wood segmentation algorithm and the parameters associated with different structural complexities.This research introduced drone orthophoto and laser radar data from Tianheng Island.Initially,2D and 3D characteristics of typical forest vegetation were extracted.Subsequently,the random forest algorithm was applied to classify different tree species.With the classification of point cloud data,sampling plots with varying structural complexities were selected to conduct comparative analysis encompassing clustering algorithms,stacking algorithms,and the watershed algorithm,in order to enhance segmentation accuracy.The findings reveal that:(1)the random forest algorithm,combined with 2D and 3D features of a single wood,effectively classifies the mixed forest trees,achieving an impressive overall accuracy of 94.51%and a Kappa coefficient of 0.9038.(2)The clustering algorithm shows the highest segmentation accuracy for forest areas with simple structures(F=96.41),while depending upon the selection of segmentation parameters.In the case of complex single wood clusters,the watershed algorithm displays the least fluctuation(ΔF=14.56),indicating its superior stability.(3)Pre-classification of tree species in mixed forests effectively improves the single wood segmentation environment.Compared to direct single wood segmentation,the clustering,stacking,and watershed algorithms yield increased segmentation accuracy to varying degrees(ΔF1=10.06,ΔF2=9.51,ΔF3=12.6).

关键词

海岛森林/森林结构复杂度/树种分类/随机森林/单木分割

Key words

island forest/forest structural complexities/classification of different tree species/random forest/single-wood segmentation

引用本文复制引用

马金超,郭振,许昊,宁焕杉,沈家伟,张志卫..森林结构复杂度对单木分割精度的影响[J].生态学报,2024,44(11):4770-4781,12.

基金项目

国家自然科学基金项目(42171292,42376228) (42171292,42376228)

外交部亚洲专项资金项目(WJ0923011) (WJ0923011)

中国海洋发展基金会国际合作项目(B19029) (B19029)

生态学报

OA北大核心CHSSCDCSTPCD

1000-0933

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