Tree position estimation from TLS data using hough transform and robust least-squares circle fitting

Michałowska, Maja; Rapiński, Jacek; Janicka, Joanna

doi:10.1016/j.rsase.2022.100863

Cited by 6 publications

(6 citation statements)

References 46 publications

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“…However, in the actual experiment, it was found that the distance between the same tree measured at two sites exceeded the Qianxun RTK error range. The possible reason for this error is that there is occlusion between the trunks, resulting in an incomplete point cloud describing the trunks, causing the algorithm to be biased in calculating the trunk positions (Michałowska et al 2023).…”

Section: Differences In Tree Height and Locationmentioning

confidence: 99%

Terrestrial Laser Scanning in Forestry: Accuracy and Efficiency in Measuring Individual Tree Structural Parameters

Li,

Qiao,

Han

et al. 2024

Preprint

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Tree position, tree height and diameter at breast height are extremely important structural parameters in forest sample plot surveys. Compared with traditional manual measurement methods, the advantages of terrestrial laser scanning (TLS) in terms of data acquisition efficiency and accuracy have led to its gradual and widespread use, but the research on the accuracy of TLS in extracting forest structural parameters is still insufficient. This paper analyzes the accuracy and effectiveness of TLS in extracting structural parameters (tree height, diameter at breast height, and location) using poplar and Styphnolobium as examples, using TLS, airborne lidar system (ALS), and combining with field measurements. The results show that TLS has significant shortcomings in measuring tree height due to observation viewpoint limitations and forest obstruction, but is more efficient and accurate for breast diameter within the observation range (radius < 50m): the detection rate of single-station TLS reaches 50–60%, while the maximum measurement error (RMSE) of DBH is 1.6cm; Furthermore, even with RTK support, the single tree location bias (M) of two independent TLS measurements is 0.11m. TLS is of great value in obtaining forest sample parameters efficiently, and this study provides a reference for evaluating the accuracy and reliability of TLS technology in forest sample measurements.

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Section: Differences In Tree Height and Locationmentioning

confidence: 99%

Terrestrial Laser Scanning in Forestry: Accuracy and Efficiency in Measuring Individual Tree Structural Parameters

Li,

Qiao,

Han

et al. 2024

Preprint

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“…In essence, the least square circle is used as the evaluation standard to calculate the sum of squares of the minimum distance between each position point on the measured outer contour and the least square circle. The premise of this method is to control the least square circle, that is, the circle as an ideal circle should conform to the minimum principle [ 45 , 46 ].…”

Section: Ceramic Ball Roundness Approximation Algorithmmentioning

confidence: 99%

Research on the Roundness Approximation Search Algorithm of Si3N4 Ceramic Balls Based on Least Square and EMD Methods

et al. 2023

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This paper aims to obtain the best shape accuracy evaluation algorithm for silicon nitride ceramic balls after lapping, and to extract the initial signal of the ball surface to improve the accuracy and reliability of the algorithm. The research methods of this paper are as follows: Firstly, an analysis of the uniform envelope of the lapping trajectory of ceramic balls is carried out to verify whether the lapping trajectory after processing can achieve a consistent envelope on the balls’ surface. On this basis, it is found through experiments that the standard deviation SD between the roundness deviations of different contour sections is small. The value is maintained at approximately 0.03 μm, and the roundness deviation can approximately replace the spherical deviation. Then the different contour sections of the sphere are sampled by the Taylor roundness instrument. Considering the uncertainty, the sampling points of different contour sections are averaged and used as the original signal of the sphere surface. Then the EMD method is used to process the signal to be detected on the sphere surface. The initial signal of the sphere surface is extracted by judging whether the number of ripples Kc obtained by decomposition is greater than the critical value. Then the initial signal is used as the input value of the approximation algorithm. Through the roundness deviation approximation algorithm based on the least square method, the given minimum approximation domain range is finely processed. The divided fine points are used as the center of the circle to intersect with the initial signal. The maximum, minimum, and range of each circle are calculated to obtain the roundness error based on the minimum circumscribed circle, the maximum inscribed circle, and the minimum region method. Finally, the calculated values are compared with those obtained by the traditional algorithm. The experimental results of this paper show that the algorithm is consistent with the roundness error measured by the instrument, compared with the mainstream evaluation criteria. In summary, the conclusions can be drawn as follows: Through a large number of experimental cases and comparative experiments, the algorithm has high accuracy and reliability. The research results of this paper have essential reference significance for accurately evaluating the shape accuracy of ceramic balls in actual production.

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“…The static LiDAR survey was conducted on a total of 9 survey points at each research plot, and the collected point cloud data was registered with ground control points investigated at each survey point using GNSS-RTK static survey. The method of estimating tree positions using terrestrial laser scanning data is known to having high and reliable accuracy about 0.01 m of RMSE [29]. Furthermore, the relationship between the positioning accuracy of the GNSS-RTK and the forest environment was statistically analyzed.…”

Section: Real-time Positioning Accuracy Evaluation Of the Gnss-rtkmentioning

confidence: 99%

Assessment of the GNSS-RTK for Application in Precision Forest Operations

Cho,

Park,

Lee

et al. 2023

Remote Sensing

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A smart thinning operation refers to an advanced method of selecting and cutting trees to be thinned based on digitally captured forest information. In smart thinning operations, workers use the coordinates of individual trees to navigate to the target trees for thinning. However, it is difficult to accurately locate individual trees in a forest stand covered with a canopy, necessitating a precise real-time positioning system that can be used in the forest. Therefore, this study aimed to evaluate the applicability of the global navigation satellite system real-time kinematic (GNSS-RTK) device in a forest stand through analysis of its positioning accuracy within the forest environment and evaluation of the operational range of the single-baseline RTK based on analysis of the positioning precision and radio signal strength index (RSSI) change with increasing distance from the base station. The results showed that the root mean square error (RMSE) of the horizontal positioning error was highly accurate, with an average of 0.26 m in Larix kaempferi stands and 0.48 m in Pinus koraiensis stands. The RSSI decreased to a minimum of −103.3 dBm within 1 km of distance from the base station; however, this had no significant impact on the horizontal positioning precision. The conclusion is that the GNSS-RTK is suitable for use in smart thinning operations.

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Tree position estimation from TLS data using hough transform and robust least-squares circle fitting

Cited by 6 publications

References 46 publications

Terrestrial Laser Scanning in Forestry: Accuracy and Efficiency in Measuring Individual Tree Structural Parameters

Terrestrial Laser Scanning in Forestry: Accuracy and Efficiency in Measuring Individual Tree Structural Parameters

Research on the Roundness Approximation Search Algorithm of Si3N4 Ceramic Balls Based on Least Square and EMD Methods

Assessment of the GNSS-RTK for Application in Precision Forest Operations

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