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Octree-based segmentation for terrestrial LiDAR point cloud data in industrial applications / Yun-Ting Su in ISPRS Journal of photogrammetry and remote sensing, vol 113 (March 2016)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 113 (March 2016) . - pp 59 - 74 Titre : Octree-based segmentation for terrestrial LiDAR point cloud data in industrial applications Type de document : Article/Communication Auteurs : Yun-Ting Su, Auteur ; James Bethel, Auteur ; Shuowen Hu, Auteur Année de publication : 2016 Article en page(s) : pp 59 - 74 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] métrologie industrielle [Termes IGN] octree [Termes IGN] segmentation d'image [Termes IGN] semis de points [Termes IGN] télémétrie laser terrestre Résumé : (auteur) Automated and efficient algorithms to perform segmentation of terrestrial LiDAR data is critical for exploitation of 3D point clouds, where the ultimate goal is CAD modeling of the segmented data. In this work, a novel segmentation technique is proposed, starting with octree decomposition to recursively divide the scene into octants or voxels, followed by a novel split and merge framework that uses graph theory and a series of connectivity analyses to intelligently merge components into larger connected components. The connectivity analysis, based on a combination of proximity, orientation, and curvature connectivity criteria, is designed for the segmentation of pipes, vessels, and walls from terrestrial LiDAR data of piping systems at industrial sites, such as oil refineries, chemical plants, and steel mills. The proposed segmentation method is exercised on two terrestrial LiDAR datasets of a steel mill and a chemical plant, demonstrating its ability to correctly reassemble and segregate features of interest. Numéro de notice : A2016-530 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.01.001 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.01.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81612 [article]

An automatic parameter selection procedure for pushbroom sensor models on imaging satellites / Inseong Jeong in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 2 (February 2014) . - pp 171 - 178 Titre : An automatic parameter selection procedure for pushbroom sensor models on imaging satellites Type de document : Article/Communication Auteurs : Inseong Jeong, Auteur ; James Bethel, Auteur Année de publication : 2014 Article en page(s) : pp 171 - 178 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse comparative [Termes IGN] capteur en peigne [Termes IGN] capteur spatial [Termes IGN] procédure opérationnelle Résumé : (Auteur) For the rigorous, physical modeling of spaceborne, push-broom imaging sensors, over-parameterization and the resulting dependencies among sensor model parameters are a continuing issue causing instability and ambiguity during parameter estimation. Traditionally, this problem hat been tackled by a fixed subset approach or by using a priori stochastic constraints, which generally require the user's intuition or intervention but with no guarantee that an optima, solution is obtained. An efficient and automated procedure to find an optimal parameter subset, that is independent and meets accuracy requirements, has been developed and tested using six images from six representative sensors. The experimental results show a stable performance of the developed procedure which results in a quality subset by the evaluation criteria and tries to minimize the checkpoint misclosure (i.e., loocvrmse) so that the resulting subset can be considered optimum. Therefore, the proposed procedure can be beneficial to the users and sensor model developers by providing an optimal and subjective solution to the well known over-parameterization problem in satellite sensor model. Numéro de notice : A2014-110 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.2.171-178 En ligne : https://doi.org/10.14358/PERS.80.2.171-178 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33015 [article]