fast and robust stem reconstruction in complex environments using terrestrial laser scanning

Clicks: 271
ID: 133995
2016
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Abstract
Terrestrial Laser Scanning (TLS) is an effective tool in forest research and management. However, accurate estimation of tree parameters still remains challenging in complex forests. In this paper, we present a novel algorithm for stem modeling in complex environments. This method does not require accurate delineation of stem points from the original point cloud. The stem reconstruction features a self-adaptive cylinder growing scheme. This algorithm is tested for a landslide region in the federal state of Vorarlberg, Austria. The algorithm results are compared with field reference data, which show that our algorithm is able to accurately retrieve the diameter at breast height (DBH) with a root mean square error (RMSE) of ~1.9 cm. This algorithm is further facilitated by applying an advanced sampling technique. Different sampling rates are applied and tested. It is found that a sampling rate of 7.5% is already able to retain the stem fitting quality and simultaneously reduce the computation time significantly by ~88%.
Reference Key
wang2016thefast Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;D. Wang;M. Hollaus;E. Puttonen;E. Puttonen;N. Pfeifer
Journal functional & integrative genomics
Year 2016
DOI
10.5194/isprs-archives-XLI-B3-411-2016
URL
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/411/2016/isprs-archives-XLI-B3-411-2016.pdf
Keywords
civil engineering (general)applied optics technologyengineering (general)

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