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Total variation methods for three dimensional LIDAR image denoising / F. Crosby in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 12 (December 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 12 (December 2010) . - pp 1365 - 1371 Titre : Total variation methods for three dimensional LIDAR image denoising Type de document : Article/Communication Auteurs : F. Crosby, Auteur ; H. Zhou, Auteur ; Q. Huynh, Auteur Année de publication : 2010 Article en page(s) : pp 1365 - 1371 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] filtrage du bruit [Termes IGN] traitement d'image Résumé : (Auteur) New imaging capabilities have given rise to higher dimensional image processing. This paper presents a generalization of total variation (tv) based denoising model with a specific application to three-dimensional flash lidar imagery. The generalization uses a weighted norm, rather than the standard Euclidean measure, that accounts for sampling differences that may exist along different axes. We compare this new method against successive two-dimensional denoising and three-dimensional TV denoising. The results show that denoising with a weighted norm presents much better object recognition for multi-plane objects compared with both of the other methods. Further, it does not blur single plane objects beyond the result obtained with two-dimensional denoising. Numéro de notice : A2010-525 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.12.1365 En ligne : https://doi.org/10.14358/PERS.76.12.1365 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30717 [article]