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GNSS-assisted integrated sensor orientation with sensor pre-calibration for accurate corridor mapping / Yilin Zhou in Sensors, vol 18 n° 9 (September 2018)  

Public [article]  inSensors > vol 18 n° 9 (September 2018) Titre : GNSS-assisted integrated sensor orientation with sensor pre-calibration for accurate corridor mapping Type de document : Article/Communication Auteurs : Yilin Zhou, Auteur ; Ewelina Rupnik , Auteur ; Paul-Henri Faure, 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] chambre métrique [Termes descripteurs IGN] compensation par faisceaux [Termes descripteurs IGN] drone [Termes descripteurs IGN] modèle géométrique de prise de vue [Termes descripteurs IGN] orientation du capteur intégrée [Termes descripteurs IGN] point d'appui [Termes descripteurs IGN] récepteur GNSS [Termes descripteurs IGN] zone tampon Résumé : (auteur) With the development of unmanned aerial vehicles (UAVs) and global navigation satellite system (GNSS), the accurate camera positions at exposure can be known and the GNSS-assisted bundle block adjustment (BBA) approach is possible for integrated sensor orientation (ISO). This study employed ISO approach for camera pose determination with the objective of investigating the impact of a good sensor pre-calibration on a poor acquisition geometry. Within the presented works, several flights were conducted on a dike by a small UAV embedded with a metric camera and a GNSS receiver. The multi-lever-arm estimation within the BBA procedure makes it possible to merge image blocks of different configurations such as nadir and oblique images without physical constraints on camera and GNSS antenna positions. The merged image block achieves a better accuracy and the sensor self-calibrated well. The issued sensor calibration is then applied to a less preferable acquisition configuration and the accuracy is significantly improved. For a corridor acquisition scene of about 600 m , a centimetric accuracy is reached with one GCP. With the provided sensor pre-calibration, an accuracy of 3.9 cm is achieved without any GCP. Numéro de notice : A2018-388 Affiliation des auteurs : LaSTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/s18092783 date de publication en ligne : 24/08/2018 En ligne : https://doi.org/10.3390/s18092783 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90803 [article]

Modelling and automated calibration of a general multi‐projective camera / Ehsan Khoramshahi in Photogrammetric record, vol 33 n° 161 (March 2018)  

Public [article]  inPhotogrammetric record > vol 33 n° 161 (March 2018) . - pp 86 - 112 Titre : Modelling and automated calibration of a general multi‐projective camera Type de document : Article/Communication Auteurs : Ehsan Khoramshahi, Auteur ; Eija Honkavaara, Auteur Année de publication : 2018 Article en page(s) : pp 86 - 112 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] chambre métrique [Termes descripteurs IGN] compensation par faisceaux [Termes descripteurs IGN] étalonnage de chambre métrique [Termes descripteurs IGN] modélisation géométrique de prise de vue Résumé : (Auteur) Recently, multi‐projective cameras (MPCs), often based on frame‐mounted multiple cameras with a small baseline and arbitrary overlap, have found a remarkable place in geomatics and vision‐based applications. This paper outlines the geometric calibration of a general MPC by presenting a mathematical model that describes its unknown generic geometry. A modified bundle block adjustment is employed to calibrate an industrial‐level 360° non‐metric camera. The structure of any MPC can be retrieved as a calibration set of relative and interior orientation parameters (as well as the pose of the MPC shots) using a calibration room which has been accurately determined by close range photogrammetry. To demonstrate the efficiency and precision of the model, a Panono camera (an MPC with 36 individual cameras) was calibrated. After the adjustment, sub‐pixel image residuals and acceptable object‐space errors were observed. Numéro de notice : A2018-221 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12230 date de publication en ligne : 28/02/2018 En ligne : https://doi.org/10.1111/phor.12230 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90041 [article]

Lightweight UAV with on-board photogrammetry and single-frequency GPS positioning for metrology applications / Mehdi Daakir in ISPRS Journal of photogrammetry and remote sensing, vol 127 (May 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 127 (May 2017) . - pp 115 – 126 Titre : Lightweight UAV with on-board photogrammetry and single-frequency GPS positioning for metrology applications Type de document : Article/Communication Auteurs : Mehdi Daakir, Auteur ; Marc Pierrot-Deseilligny , Auteur ; Pierre Bosser , Auteur ; Francis Pichard, Auteur ; Christian Thom , Auteur ; Yohann Rabot, Auteur ; Olivier Martin , Auteur Année de publication : 2017 Projets : 1-Pas de projet / Article en page(s) : pp 115 – 126 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] CamLight [Termes descripteurs IGN] chambre métrique [Termes descripteurs IGN] données GPS [Termes descripteurs IGN] drone [Termes descripteurs IGN] Institut national de l'information géographique et forestière (France) [Termes descripteurs IGN] métrologie [Termes descripteurs IGN] orientation du capteur intégrée [Termes descripteurs IGN] récepteur monofréquence Résumé : (auteur) This article presents a coupled system consisting of a single-frequency GPS receiver and a light photogrammetric quality camera embedded in an Unmanned Aerial Vehicle (UAV). The aim is to produce high quality data that can be used in metrology applications. The issue of Integrated Sensor Orientation (ISO) of camera poses using only GPS measurements is presented and discussed. The accuracy reached by our system based on sensors developed at the French Mapping Agency (IGN) Opto-Electronics, Instrumentation and Metrology Laboratory (LOEMI) is qualified. These sensors are specially designed for close-range aerial image acquisition with a UAV. Lever-arm calibration and time synchronization are explained and performed to reach maximum accuracy. All processing steps are detailed from data acquisition to quality control of final products. We show that an accuracy of a few centimeters can be reached with this system which uses low-cost UAV and GPS module coupled with the IGN-LOEMI home-made camera. Numéro de notice : A2017-220 Affiliation des auteurs : LaSTIG LOEMI+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.12.007 date de publication en ligne : 16/02/2017 En ligne : https://doi.org/10.1016/j.isprsjprs.2016.12.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85098 [article]

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Implementation of a real-time stacking algorithm in a photogrammetric digital camera for UAVs / Ahmad Audi (2017)  

Public Titre : Implementation of a real-time stacking algorithm in a photogrammetric digital camera for UAVs Type de document : Article/Communication Auteurs : Ahmad Audi, Auteur ; Marc Pierrot-Deseilligny , Auteur ; Christophe Meynard , Auteur ; Christian Thom , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2017 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. XLII-2/W6 Conférence : ISPRS 2017, International Conference on Unmanned Aerial Vehicles in Geomatics 04/09/2017 07/09/2017 Bonn Allemagne open access proceedings Importance : pp 13 - 19 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] chambre métrique [Termes descripteurs IGN] drone [Termes descripteurs IGN] flou [Termes descripteurs IGN] GPS-INS [Termes descripteurs IGN] implémentation (informatique) [Termes descripteurs IGN] points homologues [Termes descripteurs IGN] rééchantillonnage [Termes descripteurs IGN] rotation d'objet Résumé : (auteur) In the recent years, unmanned aerial vehicles (UAVs) have become an interesting tool in aerial photography and photogrammetry activities. In this context, some applications (like cloudy sky surveys, narrow-spectral imagery and night-vision imagery) need a longexposure time where one of the main problems is the motion blur caused by the erratic camera movements during image acquisition. This paper describes an automatic real-time stacking algorithm which produces a high photogrammetric quality final composite image with an equivalent long-exposure time using several images acquired with short-exposure times. Our method is inspired by feature-based image registration technique. The algorithm is implemented on the light-weight IGN camera, which has an IMU sensor and a SoC/FPGA. To obtain the correct parameters for the resampling of images, the presented method accurately estimates the geometrical relation between the first and the Nth image, taking into account the internal parameters and the distortion of the camera. Features are detected in the first image by the FAST detector, than homologous points on other images are obtained by template matching aided by the IMU sensors. The SoC/FPGA in the camera is used to speed up time-consuming parts of the algorithm such as features detection and images resampling in order to achieve a real-time performance as we want to write only the resulting final image to save bandwidth on the storage device. The paper includes a detailed description of the implemented algorithm, resource usage summary, resulting processing time, resulting images, as well as block diagrams of the described architecture. The resulting stacked image obtained on real surveys doesn’t seem visually impaired. Timing results demonstrate that our algorithm can be used in real-time since its processing time is less than the writing time of an image in the storage device. An interesting by-product of this algorithm is the 3D rotation estimated by a photogrammetric method between poses, which can be used to recalibrate in real-time the gyrometers of the IMU. Numéro de notice : C2017-037 Affiliation des auteurs : LaSTIG LOEMI (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLII-2-W6-13-2017 date de publication en ligne : 23/08/2017 En ligne : https://doi.org/10.5194/isprs-archives-XLII-2-W6-13-2017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91886

Development of a large-format UAS imaging system with the construction of a one sensor geometry from a multicamera array / Jiann-Yeou Rau in IEEE Transactions on geoscience and remote sensing, vol 54 n° 10 (October 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 10 (October 2016) . - pp 5925 - 5934 Titre : Development of a large-format UAS imaging system with the construction of a one sensor geometry from a multicamera array Type de document : Article/Communication Auteurs : Jiann-Yeou Rau, Auteur ; Jyun-Ping Jhan, Auteur ; Yi-Tang Li, Auteur Année de publication : 2016 Article en page(s) : pp 5925 - 5934 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] capteur aérien [Termes descripteurs IGN] chambre à grand format [Termes descripteurs IGN] drone [Termes descripteurs IGN] géométrie de l'image [Termes descripteurs IGN] image 3D [Termes descripteurs IGN] image multicapteur Résumé : (auteur) For the purpose of large-area topographic mapping, this study proposes an imaging system based on a multicamera array unmanned aerial system (UAS) comprised of five small-format digital cameras with a total field of view of 127°. The five digital cameras are aligned in a row along the across-track direction with overlap between two neighboring cameras. The suggested system has higher data acquisition efficiency than the single-camera UAS imaging system. For topographic mapping purposes, we develop a modified projective transformation method to stitch all five raw images into one sensor geometry. In this method, the transformation coefficients are obtained by on-the-job multicamera self-calibration, including interior and relative orientations. During the stitching process, two systematic errors are detected and corrected. In the end, a large-format digital image can be produced for each trigger event independently. The photogrammetric collinearity condition is evaluated using several external accuracy assessments, such as conventional aerial triangulation, stereoplotting, and digital surface model generation procedures. From the accuracy assessment results, we conclude that the presented raw image stitching method can be used to construct a one sensor geometry from a multicamera array and is feasible for 3-D mapping applications. Numéro de notice : A2016-863 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1109/TGRS.2016.2575066 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82896 [article]

Registration and visualisation of deformation maps from terrestrial radar interferometry using photogrammetry and structure from motion / Rafael Caduff in Photogrammetric record, vol 29 n° 146 (June - August 2014)  

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Automatic camera calibration in close range photogrammetry / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 4 (April 2013)  

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n° 200 - Novembre 2012 - Illustrating French achievements in photogrammetry and remote sensing (Bulletin de Revue Française de Photogrammétrie et de Télédétection) / Société française de photogrammétrie et de télédétection

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Stereopolis 2: A multi-purpose and multi-sensor 3D mobile mapping system for street visualisation and 3D metrology / Nicolas Paparoditis in Revue Française de Photogrammétrie et de Télédétection, n° 200 (Novembre 2012)

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Simultaneous data capture / H. Grierson in Geoinformatics, vol 14 n° 7 (01/10/2011)

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Digital aerial cameras / Mathias Lemmens in GIM international, vol 25 n° 4 (April 2011)  

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Close range photogrammetry for industrial applications / T. Luhmann in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 6 (November - December 2010)

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A digital medium-format camera for metric applications: Alpa 12 metric / D. Rieke-Zapp in Photogrammetric record, vol 25 n° 131 (September - November 2010)  

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Radiometric stability assessment of an airborne photogrammetric sensor in a test field / Lauri Markelin in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 4 (July - August 2010)

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The Intergraph DMC 2 camera range: new large-format airborne digital frame cameras / Gordon Petrie in Geoinformatics, vol 13 n° 5 (01/07/2010)

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