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Auteur P. Litkey |
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Automatic stem mapping using single-scan terrestrial laser scanning / X. Liang in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
[article]
Titre : Automatic stem mapping using single-scan terrestrial laser scanning Type de document : Article/Communication Auteurs : X. Liang, Auteur ; P. Litkey, Auteur ; Juha Hyyppä, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 661 - 670 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] forêt
[Termes IGN] Pinophyta
[Termes IGN] télémétrie laser terrestre
[Termes IGN] troncRésumé : (Auteur) The demand for detailed ground reference data in quantitative forest inventories is growing rapidly, e.g., to improve the calibration of the developed models of airborne-laser-scanning-based inventories. The application of terrestrial laser scanning (TLS) in the forest has shown great potential for improving the accuracy and efficiency of field data collection. This paper presents a fully automatic stem-mapping algorithm using single-scan TLS data for collecting individual tree information from forest plots. In this method, the stem points are identified by the spatial distribution properties of the laser points, the stem model is built up of a series of cylinders, and the location of the stem is estimated by the model. The experiment was performed on nine plots with 10-m radius. The stem-location maps measured in the field by traditional methods were used as the ground truth. The overall stem-mapping accuracy was 73%. The result shows that, in a relatively dense managed forest, the majority of stems can be located by the automatic algorithm. The proposed method is a general solution for stem locating where particular plot knowledge and data format are not required. Numéro de notice : A2012-050 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2161613 Date de publication en ligne : 18/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2161613 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31498
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 2 (February 2012) . - pp 661 - 670[article]Exemplaires(1)
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