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An integrated bundle adjustment approach to range camera geometric self-calibration / Derek D. Lichti in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 4 (July - August 2010) . - pp 360 - 368 Titre : An integrated bundle adjustment approach to range camera geometric self-calibration Type de document : Article/Communication Auteurs : Derek D. Lichti, Auteur ; C. Kim, Auteur ; S. Jamtsho, Auteur Année de publication : 2010 Article en page(s) : pp 360 - 368 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] auto-étalonnage [Termes IGN] compensation par faisceaux [Termes IGN] erreur systématique [Termes IGN] étalonnage de chambre métrique [Termes IGN] étalonnage géométrique [Termes IGN] modèle géométrique de prise de vue [Termes IGN] résidu Résumé : (Auteur) This paper describes a new method for integrated range camera system self-calibration in which both traditional camera calibration parameters and rangefinder systematic error parameters are estimated simultaneously in a free-network bundle adjustment of observations to signalised targets. Its mathematical basis is collinearity and range observation equations augmented with correction models for systematic error sources identified in the data. The self-calibration results from datasets captured with two different range cameras, a SwissRanger SR3000 and a SwissRanger SR4000, are presented and analysed in detail. The method’s effectiveness is demonstrated in terms of systematic error removal and independent accuracy assessment. Up to a 54% reduction in the residual RMS was achieved by inclusion of the proposed error models in the self-calibration adjustment. An improvement of at least 74% in the RMS of object point co-ordinate differences, over that achieved without calibration or provided by the manufacturer’s software (in the case of the SR3000), was realised in an independent accuracy assessment. In addition, the effects of several influencing variables, including the range stochastic error model, the network geometry and the range measurements themselves, on key correlation mechanisms are analysed in detail. Numéro de notice : A2010-296 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.04.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.04.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30490 [article]

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Generation of complex polyhedral building models by integrating stereo-aerial imagery and Lidar data / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 76 n° 5 (May 2010) . - pp 609 - 623 Titre : Generation of complex polyhedral building models by integrating stereo-aerial imagery and Lidar data Type de document : Article/Communication Auteurs : A. Habib, Auteur ; R. Zhai, Auteur ; C. Kim, Auteur Année de publication : 2010 Article en page(s) : pp 609 - 623 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] appariement géométrique [Termes IGN] contrainte géométrique [Termes IGN] contrainte spectrale [Termes IGN] détection automatique [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image aérienne [Termes IGN] KML [Termes IGN] modèle numérique du bâti [Termes IGN] toit Résumé : (Auteur) The integration of lidar data and aerial imagery is a promising approach for accurate building model generation. In this research, lidar data and stereo-aerial imagery are incorporated in the generation of complex polyhedral building models whose rooftops are bounded by straight lines. The process starts by utilizing lidar data for deriving building hypotheses and the initial boundaries of the planar patches constituting the buildings' rooftops. The boundaries of these patches are then refined through the incorporation of stereo-aerial imagery while utilizing 3D geometric and spectral constraints. Precise building boundaries are derived through resolving feature matching problems and fully utilizing spectral information. Finally, an efficient manual mono-plotting procedure is introduced to remove incorrect and add missing boundaries. The performance of the developed procedures is evaluated through experimental results from real data where the correctness, completeness, and accuracy of the derived building models are evaluated through comparison with a manually generated DEM. Copyright ASPRS Numéro de notice : A2010-164 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.76.5.609 En ligne : https://doi.org/10.14358/PERS.76.5.609 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30359 [article]