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Automatic sensor orientation using horizontal and vertical line feature constraints / Yanbiao Sun in ISPRS Journal of photogrammetry and remote sensing, vol 150 (April 2019)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 150 (April 2019) . - pp 172 - 184 Titre : Automatic sensor orientation using horizontal and vertical line feature constraints Type de document : Article/Communication Auteurs : Yanbiao Sun, Auteur ; Stuart Robson, Auteur ; Daniel Scott, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 172 - 184 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] angle azimutal [Termes descripteurs IGN] angle vertical [Termes descripteurs IGN] compensation par faisceaux [Termes descripteurs IGN] coordonnées horizontales [Termes descripteurs IGN] extraction de traits caractéristiques [Termes descripteurs IGN] forme linéaire [Termes descripteurs IGN] image aérienne [Termes descripteurs IGN] ligne caractéristique [Termes descripteurs IGN] orientation d'image [Termes descripteurs IGN] orientation du capteur [Termes descripteurs IGN] point d'appui Résumé : (Auteur) To improve the accuracy of sensor orientation using calibrated aerial images, this paper proposes an automatic sensor orientation method utilizing horizontal and vertical constraints on human-engineered structures, addressing the limitations faced with sub-optimal number of Ground Control Points (GCPs) within a scene. Related state-of-the-art methods rely on structured building edges, and necessitate manual identification of end points. Our method makes use of line-segments but eliminates the need for these matched end points, thus eliminating the need for inefficient manual intervention. To achieve this, a 3D line in object space is represented by the intersection of two planes going through two camera centers. The normal vector of each plane can be written as a function of a pair of azimuth and elevations angles. The normal vector of the 3D line can be expressed by the cross product of these two plane’s normal vectors. Then, we create observation functions of horizontal and vertical line constraints based on the zero-vector cross-product and the dot-product of the normal vector of the 3D lines. The observation functions of the horizontal and vertical lines are then introduced into a hybrid Bundle Adjustment (BA) method as constraints, including observed image points as well as observed line segment projections. Finally, to assess the feasibility and effectiveness of the proposed method, simulated and real data are tested. The results demonstrate that, in cases with only 3 GCPs, the accuracy of the proposed method utilizing line features extracted automatically, is increased by 50%, compared to a BA using only point constraints. Numéro de notice : A2019-140 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.02.011 date de publication en ligne : 28/02/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.02.011 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92478 [article]

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A fully automatic approach to register mobile mapping and airborne imagery to support the correction of plateform trajectories in GNSS-denied urban areas / Phillipp Jende in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 141 (July 2018) . - pp 86 - 99 Titre : A fully automatic approach to register mobile mapping and airborne imagery to support the correction of plateform trajectories in GNSS-denied urban areas Type de document : Article/Communication Auteurs : Phillipp Jende, Auteur ; Francesco Nex, Auteur ; Markus Gerke, Auteur ; M. George Vosselman, Auteur Année de publication : 2018 Article en page(s) : pp 86 - 99 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] appariement géométrique [Termes descripteurs IGN] extraction de traits caractéristiques [Termes descripteurs IGN] filtre de Wallis [Termes descripteurs IGN] GNSS assisté pour la navigation [Termes descripteurs IGN] image aérienne [Termes descripteurs IGN] image terrestre [Termes descripteurs IGN] orientation d'image [Termes descripteurs IGN] orthoimage [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] précision décimétrique [Termes descripteurs IGN] système de numérisation mobile [Termes descripteurs IGN] zone urbaine Résumé : (Auteur) Mobile Mapping (MM) solutions have become a significant extension to traditional data acquisition methods over the last years. Independently from the sensor carried by a platform, may it be laser scanners or cameras, high-resolution data postings are opposing a poor absolute localisation accuracy in urban areas due to GNSS occlusions and multipath effects. Potentially inaccurate position estimations are propagated by IMUs which are furthermore prone to drift effects. Thus, reliable and accurate absolute positioning on a par with MM's high-quality data remains an open issue. Multiple and diverse approaches have shown promising potential to mitigate GNSS errors in urban areas, but cannot achieve decimetre accuracy, require manual effort, or have limitations with respect to costs and avail-ability. This paper presents a fully automatic approach to support the correction of MM imaging data based on correspondences with airborne nadir images. These correspondences can be employed to correct the MM plat-form's orientation by an adjustment solution. Unlike MM as such, aerial images do not suffer from GNSS oc-clusions, and their accuracy is usually verified by employing well-established methods using ground control points. However, a registration between MM and aerial images is a non-standard matching scenario, and requires several strategies to yield reliable and accurate correspondences. Scale, perspective and content strongly vary between both image sources, thus traditional feature matching methods may fail. To this end, the registration process is designed to focus on common and clearly distinguishable elements, such as road markings, manholes, or kerbstones. With a registration accuracy of about 98%, reliable tie information between MM and aerial data can be derived. Even though, the adjustment strategy is not covered in its entirety in this paper, accuracy results after adjustment will be presented. It will be shown that a decimetre accuracy is well achievable in a real data test scenari Numéro de notice : A2018-285 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.04.017 date de publication en ligne : 30/04/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.04.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90397 [article]

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Second iteration of photogrammetric processing to refine image orientation with improved tie-points / Truong Giang Nguyen in Sensors, vol 18 n° 7 (July 2018)    

Public [article]  inSensors > vol 18 n° 7 (July 2018) Titre : Second iteration of photogrammetric processing to refine image orientation with improved tie-points Type de document : Article/Communication Auteurs : Truong Giang Nguyen, Auteur ; Jean-Michaël Muller, Auteur ; Ewelina Rupnik , Auteur ; Christian Thom , Auteur ; Marc Pierrot-Deseilligny , Auteur Année de publication : 2018 Projets : 1-Pas de projet / Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes descripteurs IGN] compensation par faisceaux [Termes descripteurs IGN] données localisées 3D [Termes descripteurs IGN] étalonnage de chambre métrique [Termes descripteurs IGN] image de drone [Termes descripteurs IGN] itération [Termes descripteurs IGN] orientation d'image [Termes descripteurs IGN] point de liaison (imagerie) [Termes descripteurs IGN] reconstruction 3D [Termes descripteurs IGN] semis de points Résumé : (auteur) Photogrammetric processing is available in various software solutions and can easily deliver 3D pointclouds as accurate as 1 pixel. Certain applications, e.g., very accurate shape reconstruction in industrial metrology or change detection for deformation studies in geosciences, require results of enhanced accuracy. The tie-point extraction step is the opening in the photogrammetric processing chain and therefore plays a key role in the quality of the subsequent image orientation, camera calibration and 3D reconstruction. Improving its precision will have an impact on the obtained 3D. In this research work we describe a method which aims at enhancing the accuracy of image orientation by adding a second iteration photogrammetric processing. The result from the classical processing is used as a priori information to guide the extraction of refined tie-points of better photogrammetric quality. Evaluated on indoor and UAV acquisitions, the proposed methodology shows a significant improvement on the obtained 3D point accuracy. Numéro de notice : A2018-390 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s18072150 date de publication en ligne : 04/07/2018 En ligne : https://doi.org/10.3390/s18072150 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90807 [article]

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Automatic measurement of control points for aerial image orientation / Adilson Berveglieri in Photogrammetric record, vol 32 n° 158 (June - july 2017)  

Public [article]  inPhotogrammetric record > vol 32 n° 158 (June - july 2017) . - pp 141 - 159 Titre : Automatic measurement of control points for aerial image orientation Type de document : Article/Communication Auteurs : Adilson Berveglieri, Auteur ; Antonio Maria Garcia Tommaselli, Auteur Année de publication : 2017 Article en page(s) : pp 141 - 159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] appariement d'images [Termes descripteurs IGN] calcul automatique [Termes descripteurs IGN] compensation par bloc [Termes descripteurs IGN] image aérienne [Termes descripteurs IGN] image terrestre [Termes descripteurs IGN] objectif grand angulaire [Termes descripteurs IGN] orientation d'image [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] précision des mesures Résumé : (Auteur) This paper presents an automatic workflow for measuring natural ground control points (GCPs) in aerial images. The approach is based on the acquisition of multi-scale fisheye vertical terrestrial images over distinguishable areas to automatically generate georeferenced image patches. These are matched with aerial images using correspondence techniques and then used as ground control. The technique was assessed using a bundle block adjustment, indicating an accuracy based on check points of approximately 1/5 of the ground sample distance (GSD) in planimetry and 1 GSD in elevation. Automatic GCP measurements thus improved the final accuracy in comparison with manual measurement. Numéro de notice : A2017-362 Thématique : IMAGERIE Nature : Article En ligne : http:dx.doi.org/10.1111/phor.12190 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85773 [article]

Triangulating social multimedia content for event localization using Flickr and Twitter / George Panteras in Transactions in GIS, vol 19 n° 5 (October 2015)  

Public [article]  inTransactions in GIS > vol 19 n° 5 (October 2015) . - pp 694 – 715 Titre : Triangulating social multimedia content for event localization using Flickr and Twitter Type de document : Article/Communication Auteurs : George Panteras, Auteur ; Sarah Wise, Auteur ; Xu Lu, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 694 – 715 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse d'image numérique [Termes descripteurs IGN] catastrophe naturelle [Termes descripteurs IGN] détection de contours [Termes descripteurs IGN] géopositionnement [Termes descripteurs IGN] image Flickr [Termes descripteurs IGN] orientation d'image [Termes descripteurs IGN] réseau social [Termes descripteurs IGN] Twitter [Termes descripteurs IGN] zone d'intérêt Résumé : (auteur) The analysis of social media content for the extraction of geospatial information and event-related knowledge has recently received substantial attention. In this article we present an approach that leverages the complementary nature of social multimedia content by utilizing heterogeneous sources of social media feeds to assess the impact area of a natural disaster. More specifically, we introduce a novel social multimedia triangulation process that uses both Twitter and Flickr content in an integrated two-step process: Twitter content is used to identify toponym references associated with a disaster; this information is then used to provide approximate orientation for the associated Flickr imagery, allowing us to delineate the impact area as the overlap of multiple view footprints. In this approach, we practically crowdsource approximate orientations from Twitter content and use this information to orient Flickr imagery accordingly and identify the impact area through viewshed analysis and viewpoint integration. This approach enables us to avoid computationally intensive image analysis tasks associated with traditional image orientation, while allowing us to triangulate numerous images by having them pointed towards the crowdsourced toponym location. The article presents our approach and demonstrates its performance using a real-world wildfire event as a representative application case study. Numéro de notice : A2015-683 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1111/tgis.12122 Format de la ressource électronique : Url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78316 [article]

Simultaneous registration of gnomonic projections and central perspectives / Luigi Barazzetti in Photogrammetric record, vol 29 n° 147 (September - November 2014)  

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Automatic orientation and 3D modelling from markerless rock art imagery / J. Lerma in ISPRS Journal of photogrammetry and remote sensing, vol 76 (February 2013)

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Reconnaissance de bâtiments et localisation de photographies au moyen d'un descripteur de texture / W. Suleiman in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)

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Fast AT: a simple procedure for quasi direct orientation / M. Blazquez in ISPRS Journal of photogrammetry and remote sensing, vol 71 (July 2012)

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Apero, an open source bundle adjusment software for automatic calibration and orientation of set of images / Marc Pierrot-Deseilligny (2011)  

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Photogrammetric image analysis PIA 11, Munich, Germany, October 5-7, 2011 / Uwe Stilla (2011)  

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Acquisition de nuages de points denses par photogrammétrie terrestre : Application à la mission d'archéologie de Kilwa, Arabie Saoudite / J.F. Hullo in XYZ, n° 122 (mars - mai 2010)

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Precise, automatic and fast method for vanishing point detection / Mahzad Kalantari in Photogrammetric record, vol 24 n° 127 (September - November 2009)  

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Bundle adjustment and pose estimation of images of a multiframe panoramic camera / Bertrand Cannelle (01/07/2009) 

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Approche directe de l'estimation automatique de l'orientation 3D d'images / Mahzad Kalantari (2009)

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