Original scientific paper

An Algorithm for Tree Modelling and Stem Perimeter Estimation Based on the Photogrammetric Point Cloud

Luka Jurjević orcid.org/0000-0001-6411-6692 ; Croatian Forest Research Institute, Jastrebarsko, Croatia
Mateo Gašparović orcid.org/0000-0003-2345-7882 ; Faculty of Geodesy, University of Zagreb, Zagreb, Croatia
Robert Župan orcid.org/0000-0001-7882-1173 ; Faculty of Geodesy, University of Zagreb, Zagreb, Croatia
Hrvoje Marjanović ; Croatian Forest Research Institute, Jastrebarsko, Croatia
Ivan Balenović orcid.org/0000-0001-7422-753X ; Croatian Forest Research Institute, Jastrebarsko, Croatia

Abstract

Diameter at the breast height is one of the most important parameters used in the forestry. In practice, field measurement of the test plots is an intensive and time-consuming process that requires specialized equipment. Recently, the application of terrestrial laser scanner and photogrammetry in forestry, are being investigated as a fast and effective approach to forest plot measurement. In this paper, we present the algorithm for modelling and tree stem perimeter extraction based on the RANSAC (RANdom Sample Consensus) algorithm and PCA (Principle Component Analysis). The accuracy of the tree perimeters extraction is tested on the three tree models differing on the reconstruction type (self-calibration, self-calibration with initial parameters and self-calibration without initial parameters). The smallest error is acquired by estimating perimeters on the model reconstructed with the precalibrated camera (RMSE=1.23 cm), self-calibration with initial parameters (RMSE=1.35 cm) and self-calibration (RMSE=1.63 cm) follow. The presented algorithm indicates the great potential of photogrammetric methods application in tree perimeter estimation, with some changes in the approach.

Keywords

terrestrial photogrammetry; point cloud; RANSAC; PCA

Hrčak ID:

209071

URI

https://hrcak.srce.hr/209071

Publication date:

30.9.2018.

Article data in other languages: croatian

Visits: 2.012 *