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Filtering airborne lidar data by modified white top-hat transform with directional edge constraints / Yong Li 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 133 - 141 Titre : Filtering airborne lidar data by modified white top-hat transform with directional edge constraints Type de document : Article/Communication Auteurs : Yong Li, Auteur ; Bin Yong, Auteur ; Huayi Wu, Auteur Année de publication : 2014 Article en page(s) : pp 133 - 141 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] contrainte géométrique [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] morphologie mathématique [Termes IGN] objet géographique ponctuel [Termes IGN] programmation par contraintes [Termes IGN] sous-sol Résumé : (Auteur) A novel algorithm that employs modified white top-hat (MWTH) transform with directional edge constraints is proposed in this study to automatically extract ground points from airborne light detection and ranging (lidar) data. MWTH transform can effectively distinguish above-ground objects that are smaller than the window size and higher than the height difference threshold. Directional edge constraints significantly decrease omission errors from protruding ground features. Incorporating MWTH transform and directional edge constraints enables the simultaneous consideration of the size, height, and edge characteristics of lidar data for judging above-ground objects. Experimental results verify that the proposed algorithm exhibits promising performance and high accuracy in various complicated landscapes, even in areas with dramatic changes in elevation. The proposed algorithm has minimal omission and commission error oscillation for different test sites, thereby demonstrating its stability and reliability in a wide range of applications. Numéro de notice : A2014-108 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.2.133-141 En ligne : https://doi.org/10.14358/PERS.80.2.133-141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33013 [article]