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An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data / Fabiane Bordin in European journal of remote sensing, vol 49 n° 1 (2016)  

Public [article]  inEuropean journal of remote sensing > vol 49 n° 1 (2016) . - pp 301 - 315 Titre : An intensity recovery algorithm (IRA) for minimizing the edge effect of LIDAR data Type de document : Article/Communication Auteurs : Fabiane Bordin, Auteur ; Fabrício Galhardo Müller, Auteur ; Elba Calesso Teixeira, Auteur ; Sílvia Beatriz Alves Rolim, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 301 - 315 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] effet de bord [Termes IGN] intensité lumineuse Résumé : (auteur) The terrestrial laser scanner is an equipment developed for surveying applications and is also used for many other purposes due to its ability to acquire 3D data quickly. However, before intensity data can be analyzed, it must be processed in order to minimize the edge or border effect, one of the most serious problems of LIDAR's intensity data. Our research has focused on characterizing the edge effect behavior as well as to develop an algorithm to minimize edge effect distortion automatically (IRA). The IRA showed to be effective recovering 35.71% of points distorted by the edge effect, providing significant improvements and promising results for the development of applications based on TLS data intensity to many studies. Numéro de notice : A2016-830 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5721/EuJRS20164917 En ligne : http://dx.doi.org/10.5721/EuJRS20164917 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82713 [article]