Adaptive circle-ellipse fitting method for estimating tree diameter based on single terrestrial laser scanning

Bu, Guochao; Wang, Pei

doi:10.1117/1.jrs.10.026040

Cited by 27 publications

(22 citation statements)

References 15 publications

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“…Tree trunks can be detected using the Hough transform or by conducting a circle (cylinder) fitting to a cross-section at a certain height of the 3D point cloud tree images. Bu et al [51] proposed an adaptive circle-ellipse fitting method based on the point cloud transect. Because of the complexity of the forest environment and the trunk shape, it is difficult to describe the shape of a trunk with a circle or ellipse.…”

Section: ) Framework Of the Methodsmentioning

confidence: 99%

“…The conventional instruments for the measurement of forest plots are callipers or girth tapes for trunk diameters and hypsometers for total tree heights. In recent years, laser data have offered new opportunities to obtain tree diameter and height [32] [33][45] [50]; There are many studies on tree diameter estimation, which include circle fitting [45] [50], circle-ellipse fitting [51] and Hough transformation [52].…”

Section: A Backgroundmentioning

confidence: 99%

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Trunk Model Establishment and Parameter Estimation for a Single Tree Using Multistation Terrestrial Laser Scanning

Pan

Zhang

et al. 2020

IEEE Access

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Parameter estimation and effective tree trunk model establishment are significant to tree biomass measurements and three-dimensional (3D) reconstruction. In this study, we proposed a trunk model establishment and parameter estimation method for a single tree through multistation terrestrial laser scanning (TLS). This approach obtains a more accurate and dense point cloud and yields several improvements. First, to correct the tree position, the angle between the trunk centreline and the vertical line was extracted to normalize the tree point clouds. Subsequently, some tree model parameters were accurately calculated. The tree height was extracted based on individual differences rather than directly adopting the Digital Elevation Model (DEM) model; The B-Spline curve fitting was added to the diameters at breast height (DBH) measure, which better determined the shape of the DBH compared with circle fitting; The CBH was measured by multi-view voxel projection instead of Single-view fixed threshold segmentation, which confirmed the position of the CBH more accurately. To highlight the effectiveness and pertinence of the proposed method, we analysed three plots that the proposed method can achieve more accurate results, where the mean relative error (MRE) of the tree height, DBH and CBH were 1.89%, 1.74% and 2.91% satisfying the accuracy standard specified by the technical indicators (± 5%). The experimental results validate the trunk model accuracy and the effectiveness of the parameter measurements (close to the field measurements). The proposed method is significantly different from the accuracy of the previous method. The proposed method has the best accuracy in Multistation Terrestrial Laser Scanning. Hence the proposed method has outstanding performance in the high-precision extraction of trunk parameters and the construction of trunk models which will perform forest inventory and construction of virtual forest more accurately.

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Section: ) Framework Of the Methodsmentioning

confidence: 99%

Section: A Backgroundmentioning

confidence: 99%

Trunk Model Establishment and Parameter Estimation for a Single Tree Using Multistation Terrestrial Laser Scanning

Pan

Zhang

et al. 2020

IEEE Access

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“…In the process of DBH estimation, two circle fitting methods were used to estimate the DBH values. One was the Levenberg-Marquardt method (LM method) [23,29], which was geometrical, and the other was the Taubin method, which is an algebraic method [21,29]. The accuracy and speed of the two circle fitting methods are discussed in the context of using the simulated datasets.…”

Section: Dbh Model Estimationsmentioning

confidence: 99%

“…However, a few simulation studies have been published on the accuracy of the DBH estimation. Bu and Wang simulated the point cloud data of tilting trunk slice to discuss the impacts of different angular resolutions [23]. Forsman et al [18] analyzed the bias of cylinder diameter estimation with different beamwidths by using a multi-parameter simulator.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Parameters for the Accurate and Fast Estimation of Tree Diameter at Breast Height Based on Simulated Point Cloud

et al. 2019

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Terrestrial laser scanning (TLS) is a high-potential technology in forest surveys. Estimating the diameters at breast height (DBH) accurately and quickly has been considered a key step in estimating forest structural parameters by using TLS technology. However, the accuracy and speed of DBH estimation are affected by many factors, which are classified into three groups in this study. We adopt an additive error model and propose a simple and common simulation method to evaluate the impacts of three groups of parameters, which include the range error, angular errors in the vertical and horizontal directions, angular step width, trunk distance, slice thickness, and real DBH. The parameters were evaluated statistically by using many simulated point cloud datasets that were under strict control. Two typical circle fitting methods were used to estimate DBH, and their accuracy and speed were compared. The results showed that the range error and the angular error in horizontal direction played major roles in the accuracy of DBH estimation, the angular step widths had a slight effect in the case of high range accuracy, the distance showed no relationship with the accuracy of the DBH estimation, increasing the scanning angular width was relatively beneficial to the DBH estimation, and the algebraic circle fitting method was relatively fast while performing DBH estimation, as is the geometrical method, in the case of high range accuracy. Possible methods that could help to obtain accurate and fast DBH estimation results were proposed and discussed to optimize the design of forest inventory experiments.

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“…It can effectively avoid waste of labor and time consumption and improve the accuracy of the collected information. Based on these point cloud data obtained by TLS, we can measure many parameters of trees, such as tree DBH [15], tree height, biomass, and extraction of tree skeleton [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

An Automatic Tree Skeleton Extracting Method Based on Point Cloud of Terrestrial Laser Scanner

Wang

2017

International Journal of Optics

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Tree skeleton could describe the shape and topological structure of a tree, which are useful to forest researchers. Terrestrial laser scanner (TLS) can scan trees with high accuracy and speed to acquire the point cloud data, which could be used to extract tree skeletons. An adaptive extracting method of tree skeleton based on the point cloud data of TLS was proposed in this paper. The point cloud data were segmented by artificial filtration and -means clustering, and the point cloud data of trunk and branches remained to extract skeleton. Then the skeleton nodes were calculated by using breadth first search (BFS) method, quantifying method, and clustering method. Based on their connectivity, the skeleton nodes were connected to generate the tree skeleton, which would be smoothed by using Laplace smoothing method. In this paper, the point cloud data of a toona tree and peach tree were used to test the proposed method and for comparing the proposed method with the shortest path method to illustrate the robustness and superiority of the method. The experimental results showed that the shape of tree skeleton extracted was consistent with the real tree, which showed the method proposed in the paper is effective and feasible.

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Adaptive circle-ellipse fitting method for estimating tree diameter based on single terrestrial laser scanning

Cited by 27 publications

References 15 publications

Trunk Model Establishment and Parameter Estimation for a Single Tree Using Multistation Terrestrial Laser Scanning

Trunk Model Establishment and Parameter Estimation for a Single Tree Using Multistation Terrestrial Laser Scanning

Analysis of Parameters for the Accurate and Fast Estimation of Tree Diameter at Breast Height Based on Simulated Point Cloud

An Automatic Tree Skeleton Extracting Method Based on Point Cloud of Terrestrial Laser Scanner

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