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New Hybrid Algorithms for Estimating Tree Stem Diameters at Breast Height Using a Two Dimensional Terrestrial Laser Scanner.

Kong J, Ding X, Liu J, Yan L, Wang J - Sensors (Basel) (2015)

Bottom Line: In this paper, a new algorithm to improve the accuracy of estimating diameter at breast height (DBH) for tree trunks in forest areas is proposed.Compared with previous works, this proposed method improves the accuracy of diameter estimation of trees significantly and effectively reduces the calculation time.Moreover, the experimental results indicate that this method is stable and suitable for the most challenging conditions, which has practical significance in improving the operating efficiency of forest harvester and reducing the risk of causing accidents.

View Article: PubMed Central - PubMed

Affiliation: School of Technology, Beijing Forestry University, Beijing 100083, China. kongjianlei_slgc@163.com.

ABSTRACT
In this paper, a new algorithm to improve the accuracy of estimating diameter at breast height (DBH) for tree trunks in forest areas is proposed. First, the information is collected by a two-dimensional terrestrial laser scanner (2DTLS), which emits laser pulses to generate a point cloud. After extraction and filtration, the laser point clusters of the trunks are obtained, which are optimized by an arithmetic means method. Then, an algebraic circle fitting algorithm in polar form is non-linearly optimized by the Levenberg-Marquardt method to form a new hybrid algorithm, which is used to acquire the diameters and positions of the trees. Compared with previous works, this proposed method improves the accuracy of diameter estimation of trees significantly and effectively reduces the calculation time. Moreover, the experimental results indicate that this method is stable and suitable for the most challenging conditions, which has practical significance in improving the operating efficiency of forest harvester and reducing the risk of causing accidents.

No MeSH data available.


The analysis flow of DBH estimation with 2DTLS data for the harvesting head.
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sensors-15-15661-f008: The analysis flow of DBH estimation with 2DTLS data for the harvesting head.

Mentions: Finally, the overall data analysis flow of the equipment for the measurement and calculation of the tree parameters is shown in Figure 8. It is mainly divided into six consecutive phases. The first phase is fusing the visible and thermal image to track the pose of 2DTLS and the trees. Then 2DTLS scans the trees in the forest area continuously and projects the raw point cloud onto a horizontal scanning plane according to the angle resolution. The third phase is clustering trunks in difference vectors and filtering the invalid scanning data against some criteria of curvatures calculation, then extracting each trunk from the calibrated point cloud. Furthermore, those multi-scanned laser data are optimized in an arithmetic mean algorithm for reducing the fluctuating errors of the laser scanner data. The fifth phrase is determining the trunk diameter and location of the trunks in the proposed method for the harvesting head. Lastly, compared with related works, the sixth phrase is storing and displaying the results and graphing the useful information on the human-computer interface.


New Hybrid Algorithms for Estimating Tree Stem Diameters at Breast Height Using a Two Dimensional Terrestrial Laser Scanner.

Kong J, Ding X, Liu J, Yan L, Wang J - Sensors (Basel) (2015)

The analysis flow of DBH estimation with 2DTLS data for the harvesting head.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541849&req=5

sensors-15-15661-f008: The analysis flow of DBH estimation with 2DTLS data for the harvesting head.
Mentions: Finally, the overall data analysis flow of the equipment for the measurement and calculation of the tree parameters is shown in Figure 8. It is mainly divided into six consecutive phases. The first phase is fusing the visible and thermal image to track the pose of 2DTLS and the trees. Then 2DTLS scans the trees in the forest area continuously and projects the raw point cloud onto a horizontal scanning plane according to the angle resolution. The third phase is clustering trunks in difference vectors and filtering the invalid scanning data against some criteria of curvatures calculation, then extracting each trunk from the calibrated point cloud. Furthermore, those multi-scanned laser data are optimized in an arithmetic mean algorithm for reducing the fluctuating errors of the laser scanner data. The fifth phrase is determining the trunk diameter and location of the trunks in the proposed method for the harvesting head. Lastly, compared with related works, the sixth phrase is storing and displaying the results and graphing the useful information on the human-computer interface.

Bottom Line: In this paper, a new algorithm to improve the accuracy of estimating diameter at breast height (DBH) for tree trunks in forest areas is proposed.Compared with previous works, this proposed method improves the accuracy of diameter estimation of trees significantly and effectively reduces the calculation time.Moreover, the experimental results indicate that this method is stable and suitable for the most challenging conditions, which has practical significance in improving the operating efficiency of forest harvester and reducing the risk of causing accidents.

View Article: PubMed Central - PubMed

Affiliation: School of Technology, Beijing Forestry University, Beijing 100083, China. kongjianlei_slgc@163.com.

ABSTRACT
In this paper, a new algorithm to improve the accuracy of estimating diameter at breast height (DBH) for tree trunks in forest areas is proposed. First, the information is collected by a two-dimensional terrestrial laser scanner (2DTLS), which emits laser pulses to generate a point cloud. After extraction and filtration, the laser point clusters of the trunks are obtained, which are optimized by an arithmetic means method. Then, an algebraic circle fitting algorithm in polar form is non-linearly optimized by the Levenberg-Marquardt method to form a new hybrid algorithm, which is used to acquire the diameters and positions of the trees. Compared with previous works, this proposed method improves the accuracy of diameter estimation of trees significantly and effectively reduces the calculation time. Moreover, the experimental results indicate that this method is stable and suitable for the most challenging conditions, which has practical significance in improving the operating efficiency of forest harvester and reducing the risk of causing accidents.

No MeSH data available.