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Segmentation of terrestrial laser scanning data using geometry and image information / S. Barnea in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 76 (February 2013) . - pp 33 - 48 Titre : Segmentation of terrestrial laser scanning data using geometry and image information Type de document : Article/Communication Auteurs : S. Barnea, Auteur ; S. Filin, Auteur Année de publication : 2013 Article en page(s) : pp 33 - 48 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] fusion de données [Termes IGN] intégration de données [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation [Termes IGN] télémétrie laser terrestre [Termes IGN] zone saillante 3D Résumé : (Auteur) Terrestrial laser scanning is becoming a standard technology for 3D modeling of complex scenes. Laser scans contain detailed geometric information, but still require interpretation of the data for making it useable for mapping purposes. A fundamental step in the transformation of the data into objects involves their segmentation into consistent units. Such units should follow some predefined rules, and result in salient regions guided by the desire that the individual segments represent object or object-parts within the scene. Nonetheless, due to the scene complexity and the variety of objects, a segmentation using only a single cue does not suffice. Considering the availability of additional data sources such as color images, more information can be integrated in the data partitioning process and ultimately into the reconstruction scheme. We propose segmentation of terrestrial laser scanning data by the integration of range and color content and by using multiple cues. This concept raises questions regarding their mode of integration, and definition of the expected outcome. We show, that while individual segmentation based on given cues have their own limitations, their integration provide a more coherent partitioning that has better potential for further processing. Experiments show that the proposed segmentation methodology yield physically meaningful segments, which surpass those obtained via segmentation of the individual channels. Numéro de notice : A2013-090 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.05.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.05.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32228 [article]

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Automatic tie-point extraction / Z. Shragai in GIM international, vol 26 n° 4 (April 2012)

Public [article]  inGIM international > vol 26 n° 4 (April 2012) . - pp 31 - 35 Titre : Automatic tie-point extraction Type de document : Article/Communication Auteurs : Z. Shragai, Auteur ; S. Barnea, Auteur ; A. Even-Paz, Auteur Année de publication : 2012 Article en page(s) : pp 31 - 35 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] aérotriangulation numérique [Termes IGN] extraction automatique [Termes IGN] points homologues [Termes IGN] recouvrement d'images Résumé : (Auteur) One of the most complex and time-consuming tasks in the photogrammetric workflow is the extraction of corresponding points in two or more overlapping images. This is the first stage of aerial triangulation and block adjustment aimed at computing the positions of the projection centre and orientation of each image. Automating the extraction of these so-called 'tie-point' can be challenging, especially when non-standard approaches such as cameras mounted on UAVs or oblique imagery are used. The authors present a novel matching method able to handle the most challenging imagery. Numéro de notice : A2012-152 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31599 [article]

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