Tree Diameter at Breast Height Automatic Estimation Based on Forest Terrestrial Laser Scanning

doi:10.11908/j.issn.0253-374x.22113

Home > Archive>Volume 50, Issue 7, 2022 >947-954. DOI:10.11908/j.issn.0253-374x.22113

Tree Diameter at Breast Height Automatic Estimation Based on Forest Terrestrial Laser Scanning
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                        10.11908/j.issn.0253-374x.22113
                    
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                        WU HangbinWU Hangbin
College of Surveying and Geo-Informatics， Tongji University， Shanghai 200092， China
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WANG XufeiWANG Xufei
College of Surveying and Geo-Informatics， Tongji University， Shanghai 200092， China
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LIU ChunLIU Chun
College of Surveying and Geo-Informatics， Tongji University， Shanghai 200092， China
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Affiliation:College of Surveying and Geo-Informatics， Tongji University， Shanghai 200092， China
Clc Number:TN958.98
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Abstract:

This paper presents a tree diameter at breast height （DBH）estimation algorithm using terrestrial laser scanning （TLS） based on the randomized random sample consensus （RANSAC） model. First， the forest cloud data were filtered by the cloth simulation filtering （CSF） algorithm. Digital elevation model （DEM） and the point cloud at the DBH of the tree were extracted. Then， Euclidean distance clustering was performed. Finally， the tree model was fitted on the basis of the randomized RANSAC model. The algorithm was verified on laser point cloud data from two sample plots in Qingpu District， Shanghai. The average biases from the actual diameter of trees were 0.79 cm and 0.52 cm， respectively. Experiment results show that the algorithm is better than those based on Hough transform or the least-squares in terms of the accuracy and running time.

Key words:terrestrial laser scanning;diameter at breast height;randomized random sample consensus （RANSAC ）Model

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WU Hangbin, WANG Xufei, LIU Chun. Tree Diameter at Breast Height Automatic Estimation Based on Forest Terrestrial Laser Scanning[J].同济大学学报(自然科学版),2022,50(7):947~954

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Received:March 17,2022
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Online: July 22,2022
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