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Auteur A. Bienert |
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Automatic forest inventory parameter determination from terrestrial laser scanner data / Hans-Gerd Maas in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)
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Titre : Automatic forest inventory parameter determination from terrestrial laser scanner data Type de document : Article/Communication Auteurs : Hans-Gerd Maas, Auteur ; A. Bienert, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 1579 - 1593 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données laser
[Termes IGN] données localisées 3D
[Termes IGN] hauteur des arbres
[Termes IGN] image terrestre
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] lasergrammétrie
[Termes IGN] semis de points
[Termes IGN] sylviculture
[Termes IGN] télémétrie laser terrestreRésumé : (Auteur) Terrestrial laser scanners find rapidly growing interest in photogrammetry as efficient tools for fast and reliable three-dimensional (3D) point cloud data acquisition. They have opened a wide range of application fields within a short period of time. Beyond interactive measurement in 3D point clouds, techniques for the automatic detection of objects and the determination of geometric parameters form a high priority research issue. With the quality of 3D point clouds generated by laser scanners and the automation potential in data processing, terrestrial laser scanning is also becoming a useful tool for forest inventory. This paper presents a brief review of current laser scanner systems from a technological point of view and discusses different scanner technologies and system parameters regarding their suitability for forestry applications. Methods for the automatic detection of trees in terrestrial laser scanner data as well as the automatic determination of diameter at breast height (DBH), tree height and 3D stem profiles are outlined. Reliability and precision of the techniques are analysed on the basis of several pilot studies. In these pilot studies more than 97% of the trees could be detected correctly, and DBH could be determined with a precision of about 1.8 cm. Copyright Taylor & Francis Numéro de notice : A2008-084 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701736406 En ligne : https://doi.org/10.1080/01431160701736406 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29079
in International Journal of Remote Sensing IJRS > vol 29 n° 5 (March 2008) . - pp 1579 - 1593[article]Exemplaires(1)
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