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vol III-1 - July 2016 - [actes] XXIII ISPRS Congress, Commission I, 12–19 July 2016, Prague, Czech Republic (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Lena Halounova  

Public [n° ou bulletin]  est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (1980 -) (2012 - )   Titre : vol III-1 - July 2016 - [actes] XXIII ISPRS Congress, Commission I, 12–19 July 2016, Prague, Czech Republic Type de document : Périodique Auteurs : Lena Halounova, Éditeur scientifique ; V. Safar, Éditeur scientifique ; Charles K. Toth, Éditeur scientifique ; Jakub Karas, Éditeur scientifique ; Huadong Guo, Éditeur scientifique ; Norbert Haala, Éditeur scientifique ; A. Habib, Éditeur scientifique ; Peter Reinartz, Éditeur scientifique ; X. Tang, Éditeur scientifique ; J. Li, Éditeur scientifique ; Costas Armenakis, Éditeur scientifique ; Görres Grenzdorffer, Éditeur scientifique ; P. Le Roux, Éditeur scientifique ; Stratos Stylianidis, Éditeur scientifique ; Reinhard Blasi, Éditeur scientifique ; M. Menard, Éditeur scientifique ; H. Dufourmount, Éditeur scientifique ; Z. Li, Éditeur scientifique Congrès : ISPRS 2016, 23th international congress (12 - 19 juillet 2016; Prague, République tchèque), Auteur Année de publication : 2016 Langues : Français (fre) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/index.html Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27483 [n° ou bulletin]

Contient

• Hybrid online mobile laser scanner calibration through image alignment by mutual information / Mourad Miled in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol III-1 (July 2016)  
• Accuracy Validation of Large-scale Block Adjustment without Control of ZY3 Images over China / Yang Bo in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol III-1 (July 2016)  
• Refined satellite image orientation in the free open-source photogrammetric tools Apero/MicMac / Ewelina Rupnik in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol III-1 (July 2016)    

A framework for the registration and segmentation of heterogeneous lidar data / M. Al-Durgham in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 2 (February 2013) . - pp 135 - 145 Titre : A framework for the registration and segmentation of heterogeneous lidar data Type de document : Article/Communication Auteurs : M. Al-Durgham, Auteur ; A. Habib, Auteur Année de publication : 2013 Article en page(s) : pp 135 - 145 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] densité des points [Termes IGN] données hétérogènes [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] intégration de données [Termes IGN] segmentation [Termes IGN] superposition de données Résumé : (Auteur) Lidar has been established over the past few years as a mainstream tool for the acquisition of three dimensional point data. Besides the conventional mapping missions, lidar has proven to be very useful for a wide spectrum of applications such as forestry, urban planning, structural deformation analysis, and reverse engineering. In the context of a nation-wide dataset, it is safe to assume that multiple laser scanners are under different conditions to collect the data. Current registration and segmentation algorithms assume homogeneity in the local point density and accuracy which is an invalid assumption that cannot be tolerated. As a consequence of the wide range of lidar sensors currently available, it is becoming crucial to develop algorithms for the registration and segmentation of lidar data with significantly varying characteristics (i.e., varying point density and accuracy). In this paper, a methodology for the optimal registration and segmentation of heterogeneous lidar data is presented. An example of integrating airborne and terrestrial laser scans is presented and followed by a discussion of the pros of the integration process. Numéro de notice : A2013-075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.2.135 En ligne : https://doi.org/10.14358/PERS.79.2.135 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32213 [article]

New approaches for estimating local point density and its impact on lidar data segmentation / Z. Lari in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 2 (February 2013) . - pp 195 - 207 Titre : New approaches for estimating local point density and its impact on lidar data segmentation Type de document : Article/Communication Auteurs : Z. Lari, Auteur ; A. Habib, Auteur Année de publication : 2013 Article en page(s) : pp 195 - 207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] contrôle qualité [Termes IGN] densité des points [Termes IGN] données lidar [Termes IGN] filtrage du bruit [Termes IGN] qualité des données [Termes IGN] réflexion (rayonnement) [Termes IGN] segmentation [Termes IGN] semis de points [Termes IGN] traitement de données Résumé : (Auteur) Lidar systems have been proven as a cost-effective tool for the collection of high density and accurate point cloud over physical surfaces. The collected point cloud does not exhibit homogenous point distribution due to the characteristics of the scanning system and/or the physical properties of the scanned surfaces. In order to effectively process the lidar point clouds, local point density variations should be quantified and taken into account for the definition of processing parameters. In this paper, new approaches are presented for the estimation of local point density indices while considering the 3D relationship among lidar points, the physical properties of the reflecting surfaces, and the noise level in the datasets collected by different laser scanners. The impact of considering the estimated local point density variations on the quality of lidar data segmentation results is then investigated by performing a quality control procedure. Quantitative evaluation of segmentation results highlights the efficacy of utilizing the estimated local point density indices for the derivation of more accurate segmentation. Numéro de notice : A2013-079 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.79.2.195 En ligne : https://doi.org/10.14358/PERS.79.2.195 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32217 [article]

Image matching and surface registration for 3D reconstruction of a scoliotic torso / I. Detchev in Geomatica, vol 65 n° 2 (June 2011)  

Public [article]  inGeomatica > vol 65 n° 2 (June 2011) . - pp 175 - 187 Titre : Image matching and surface registration for 3D reconstruction of a scoliotic torso Type de document : Article/Communication Auteurs : I. Detchev, Auteur ; A. Habib, Auteur ; Y. Chang, Auteur Année de publication : 2011 Article en page(s) : pp 175 - 187 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse diachronique [Termes IGN] appariement d'images [Termes IGN] étalonnage d'instrument [Termes IGN] imagerie médicale [Termes IGN] médecine humaine [Termes IGN] photogrammétrie médicale [Termes IGN] précision submillimétrique [Termes IGN] reconstruction 3D [Termes IGN] surveillance sanitaire Résumé : (Auteur) The focus of this research is a hierarchical image matching strategy and a multiple surface registration technique for 3D reconstruction of a scoliotic torso. Scoliosis is a deformity of the human spine most commonly occurring in children. After being detected, periodic examinations via x-rays are traditionally used to measure its progression. However, due to the increased risk of cancer, non-invasive and radiation-free scoliosis detection and progression monitoring methodologies are being researched. For example, quantifying the scoliotic deformity through the torso surface is a valid alternative because of its high correlation with the internal spine curvature. This work proposes a low-cost, multi-camera photogrammetric system for semi-automated 3D reconstruction of a torso surface with a sub-millimetre level accuracy. The paper first describes the system design and calibration for optimal accuracy. It then covers the reconstruction and registration procedures giving insights into the hierarchical image matching strategy and the multiple surface registration technique. Final accuracy is evaluated through the goodness of fit between the reconstructed surface and a more accurate set of points measured by a coordinate measuring machine. Numéro de notice : A2011-542 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/cig2011-026 En ligne : https://doi.org/10.5623/cig2011-026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31436 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
035-2011021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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]

Alternative methodologies for the internal quality control of parallele LIDAR strips / A. Habib in IEEE Transactions on geoscience and remote sensing, vol 48 n° 1 Tome 1 (January 2010)  

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Error budget of Lidar systems and quality control of the derived data / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 9 (September 2009)  

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Photogrammetric and LIDAR data integration using the centroid of a rectangular roof as a control point / Edson Aparecido Mitishita in Photogrammetric record, vol 23 n° 121 (March - May 2008)  

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Comprehensive analysis of sensor modelling alternatives for high-resolution imaging satellites / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 11 (November 2007)  

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Stability analysis of low-cost digital cameras for aerial mapping using different georeferencing techniques / A. Habib in Photogrammetric record, vol 21 n° 113 (March - May 2006)  

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Photogrammetric and Lidar data registration using linear features / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 6 (June 2005)  

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Stability analysis and geometric calibration of off-the-shelf digital cameras / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 6 (June 2005)  

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Semi-automatic registration of multi-source satellite imagery with varying geometric resolutions / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)  

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Registration of multi-source, multi-resolution, and multi-temporal satellite imagery: issues and applications / A. Habib in Geoinformatics, vol 7 n° 8 (01/12/2004)

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Autonomous space resection using point- and line-based representation of free-form control linear features / A. Habib in Photogrammetric record, vol 18 n° 103 (September - November 2003)  

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