首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >The influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans
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The influence of scanner parameters on the extraction of tree metrics from FARO Photon 120 terrestrial laser scans

机译:扫描仪参数对从FARO Photon 120地面激光扫描中提取树度量的影响

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In the present study the influence of the scanner parameters, scan resolution (angular step size), scan speed (number of laser pulses per second), and pulse duration, on tree stem detection, stem diameter and volume extraction from phase-shift FARO Photon 120 TLS data was assessed. Additionally the effects of a data post processing (filtering of raw scan data) were investigated. All analyses were carried out based on single and merged scan data. It could be shown that scan speed, pulse duration and data filtering only marginally affect stem detection rates and stem diameter and volume estimation accuracies. By contrast scan resolution was found to have an effect, the magnitude of which, however, is range-dependent. For example mean stem detection rates for the three different scan resolutions tested were found to be equal in near range, but decreased more strongly for the lower scan resolutions in far range. With regard to the stem diameter extraction, scan resolution did not affect stem diameter at breast height (DBH) estimation accuracy, but limited the range within which DBH could be reliably extracted. The root mean squared error (RMSE) for DBH extracted from the single scan data was found to be significantly larger compared to the RMSE for DBH extracted from the merged scan data. Single scan data yielded stem volume estimates with lower accuracies, too. This study demonstrated that it is possible to maximize sampling efficiency by using scanner parameter sets with low scanning times (i.e., low scan resolution, high scan speed) without significantly losing estimation accuracy. If maximum accuracy is desired for both DBH and stem volume, the acquisition of multiple scans with a subsequent data merging is required.
机译:在本研究中,扫描仪参数,扫描分辨率(角度步长),扫描速度(每秒激光脉冲数)和脉冲持续时间对树茎检测,茎直径和从相移FARO光子提取的体积的影响评估了120个TLS数据。此外,还研究了数据后处理(原始扫描数据的过滤)的影响。所有分析都是基于单个和合并的扫描数据进行的。可以看出,扫描速度,脉冲持续时间和数据过滤仅在一定程度上影响茎的检测率以及茎直径和体积估计的准确性。相比之下,发现扫描分辨率会产生影响,但是其大小取决于范围。例如,发现测试的三种不同扫描分辨率的平均茎检测率在近距离内相等,但对于远距离较低的扫描分辨率,其下降幅度更大。关于茎直径提取,扫描分辨率不会影响乳房高度(DBH)估算精度上的茎直径,但会限制可以可靠提取DBH的范围。发现从单一扫描数据中提取的DBH的均方根误差(RMSE)与从合并扫描数据中提取的DBH的均方根误差(RMSE)相比要大得多。单次扫描数据也产生了较低准确度的茎体积估计。这项研究表明,可以通过使用扫描时间短(即扫描分辨率低,扫描速度高)的扫描仪参数集来最大化采样效率,而不会显着降低估计精度。如果DBH和阀杆体积都需要最大的精度,则需要进行多次扫描并随后合并数据。

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