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treecrosssec's Introduction

TreeCrossSec

DOI
Tree stem cross-section reconstruction with free-form curves from point clouds

Usage

VV = TreeCrossSec(Sp, res_thres, Forder)

Input:
Sp: nxm point cloud (unit in m). The dimension m should be at least 2.
optional:
res_thres: residual tolerance e.g., 0.01 (cm)
Forder: Fourier series order (1 - 8)

Output:
VV: a structure variable contains radius estimations from various methods, and reconstructed points in ModelX&ModelY. Usually FouCirc gives the best diameter estimation.

Examples

Example 1
VV = TreeCrossSec(Sp, 0.01, 8); example 1 Example 2
(this method only works perfectly for convex shapes)
VV = TreeCrossSec(Sp, 0.05, 8); example 2 Example 3
VV = TreeCrossSec(Sp, 0.01, 6); example 3 Example 4
VV = TreeCrossSec(Sp, 0.01, 6); example 4

Bibtex

@article{xxxx,
title={Reconstructing stem cross section shapes from terrestrial laser scanning},
author={Wang, Di and Kankare, Ville and Puttonen, Eetu and Hollaus, Markus and Pfeifer, Norbert},
journal={IEEE Geoscience and Remote Sensing Letters},
volume={14},
number={2},
pages={272--276},
year={2017},
publisher={IEEE}
}

Contact

Di Wang
[email protected]

treecrosssec's People

Contributors

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Watchers

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