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Combination of overlap-driven adjustment and Phong model for LiDAR intensity correction / Q. Ding in ISPRS Journal of photogrammetry and remote sensing, vol 75 (January 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 75 (January 2013) . - pp 40 - 47 Titre : Combination of overlap-driven adjustment and Phong model for LiDAR intensity correction Type de document : Article/Communication Auteurs : Q. Ding, Auteur ; W. Chen, Auteur ; B. King, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 40 - 47 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] capteur multibande [Termes IGN] Chine [Termes IGN] correction du signal [Termes IGN] données lidar [Termes IGN] Fleuve jaune (Chine) [Termes IGN] intensité lumineuse [Termes IGN] réflexion spéculaire [Termes IGN] télémétrie laser aéroporté [Termes IGN] zone humide Résumé : (Auteur) Airborne laser scanning LiDAR systems deliver not only geometric (X, Y, Z) information of the scanned surfaces but also the returned intensity of the laser pulse. Recent studies have shown the potential of using intensity data for many applications. However, there are limitations in using the raw intensity data because of radiometric system bias, reflectance noise and variations between adjacent strips. To overcome these limitations, a three-step LiDAR intensity correction algorithm is proposed. Following corrections for environmental and surface effects, an overlap-driven least-squares adjustment model that does not rely on the selection of homologous points minimizes intensity differences in the overlap area of strips. Finally, the Phong reflection model, which describes both diffuse and specular reflectance, is used to attenuate the effects of strong reflections that typically occur over wet or water dominated areas. The algorithm was applied to a multi-strip LiDAR dataset that covers wetlands in the estuary of the Yellow River, People’s Republic of China. Results demonstrated a significant reduction in radiometric differences in the overlap areas, and strong specular reflections in the nadir regions were reduced. Objects which were obscured by the specular reflection in the original intensity data were clearly identifiable after the adjustment. Numéro de notice : A2013-031 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.09.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.09.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32169 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2013011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A split-and-merge technique for automated reconstruction of roof planes / Kourosh Khoshelham in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 7 (July 2005)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 7 (July 2005) . - pp 855 - 862 Titre : A split-and-merge technique for automated reconstruction of roof planes Type de document : Article/Communication Auteurs : Kourosh Khoshelham, Auteur ; Z. Li, Auteur ; B. King, Auteur Année de publication : 2005 Article en page(s) : pp 855 - 862 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] extraction du sursol [Termes IGN] hauteur du bâti [Termes IGN] modèle numérique de surface [Termes IGN] morphologie urbaine [Termes IGN] partition de surface [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation d'image Résumé : (Auteur) Automated reconstruction of buildings from different data sources has been one of the most challenging problems in photogrammetry and computer vision. Systems for automated building reconstruction fail in many cases due to complexities involved in the data including image noise, occlusion, shadow, and low contrast, as well as, low accuracy or density of height data. In this paper, the problem of overgrown and undergrown regions in the segmentation of aerial images is discussed, and a split-and-merge technique is presented to overcome this problem by making use of height data. This technique is based on splitting image regions whose associated height points do not fall in a single plane, and merging coplanar neighboring regions. A robust plane-fitting method is used to fit planar surfaces to height points that are highly contaminated by gross errors. Final roof planes are extracted out of the image planar regions by checking their slope and height over a morphologically opened Dsm. An experimental evaluation is conducted, and its results indicate the capability of the proposed technique in splitting overgrown regions, merging undergrown coplanar regions, and selecting the final roof planes. Also, the method is shown to be computationally efficient, and the reconstructed roof planes are of acceptable accuracy. Numéro de notice : A2005-300 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.7.855 En ligne : https://doi.org/10.14358/PERS.71.7.855 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27436 [article]