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Auteur P.Y. Gilliéron |
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Cell-based automatic deformation computation by analyzing terrestrial Lidar point clouds / J. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 4 (April 2012)
[article]
Titre : Cell-based automatic deformation computation by analyzing terrestrial Lidar point clouds Type de document : Article/Communication Auteurs : J. Wu, Auteur ; P.Y. Gilliéron, Auteur ; Bertrand Merminod, Auteur Année de publication : 2012 Article en page(s) : pp 317 - 329 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] érosion
[Termes IGN] lasergrammétrie
[Termes IGN] modèle de déformation tectonique
[Termes IGN] semis de pointsRésumé : (Auteur) This paper presents a cell-based approach for computing the deformation of a monitored object by analyzing point cloud data from terrestrial lidar. This approach can automatically generate an informative deformation description (called “deformation map”) with distinctive deformation characteristics for different partial areas. The approach consists of three major computing steps: (a) “split” - the space of the monitored object is divided into 3D uniform cells, (b) “detect” - deformation parameters for each cell (called “meta-deformation”) are estimated by comparing the point clouds in the cell sampled at Epochs I and II, and (c) “merge” - the adjacent cells with similar meta-deformation are combined together in a partial area with a consistent “sub-deformation.” The main contributions of this paper are: (a) a hybrid deformation model for incremental and comprehensive deformation representation, including metadeformation, sub-deformation and deformation map, (b) a systematic procedure of “split-detect-merge” to automatically and gradually estimate the hybrid deformation model, and (c) a complete validation with a couple of synthetic and real datasets. Numéro de notice : A2012-177 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.4.317 En ligne : https://doi.org/10.14358/PERS.78.4.317 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31624
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 4 (April 2012) . - pp 317 - 329[article]