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Titre : Multi-agent systems : Strategies and applications Type de document : Monographie Auteurs : Ricardo Lopez-Ruiz, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2020 Importance : 170 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-1-78985-394-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage par renforcement
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction d'image
[Termes IGN] réseau neuronal artificiel
[Termes IGN] système multi-agentsRésumé : (éditeur) Research on multi-agent systems is enlarging our future technical capabilities as humans and as an intelligent society. During recent years many effective applications have been implemented and are part of our daily life. These applications have agent-based models and methods as an important ingredient. Markets, finance world, robotics, medical technology, social negotiation, video games, big-data science, etc. are some of the branches where the knowledge gained through multi-agent simulations is necessary and where new software engineering tools are continuously created and tested in order to reach an effective technology transfer to impact our lives. This book brings together researchers working in several fields that cover the techniques, the challenges and the applications of multi-agent systems in a wide variety of aspects related to learning algorithms for different devices such as vehicles, robots and drones, computational optimization to reach a more efficient energy distribution in power grids and the use of social networks and decision strategies applied to the smart learning and education environments in emergent countries. We hope that this book can be useful and become a guide or reference to an audience interested in the developments and applications of multi-agent systems. Note de contenu : 1- Cooperative adaptive learning control for a group of nonholonomic UGVs by output feedback
2- Multiagent systems for 3D reconstruction applications
3- A Q-learning-based approach for simple and multi-agent systems
4- Multi-Agent systems, simulation and nanotechnology
5- Applications of multi-agent system in power system engineering
6- Architecture of a microgrid and optimal energy management system
7- Multi-agent systems based advanced energy management of smart micro-grid
8- Smart learning environment: Paradigm shift for onlint learning
9- ICT: Vehicle for educational development and social TransformationNuméro de notice : 28572 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.81766 Date de publication en ligne : 22/04/2020 En ligne : https://doi.org/10.5772/intechopen.81766 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97871 Innovative techniques of photogrammetry for 3D modeling / Vicenzo Barrile in Applied geomatics, Vol 11 n° 4 (December 2019)
[article]
Titre : Innovative techniques of photogrammetry for 3D modeling Type de document : Article/Communication Auteurs : Vicenzo Barrile, Auteur ; Alice Pozzoli, Auteur ; Giuliana Bilotta, Auteur ; Antonino Fotia, Auteur Année de publication : 2019 Article en page(s) : pp 353–369 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie analytique
[Termes IGN] Italie
[Termes IGN] modèle non linéaire
[Termes IGN] modélisation 3D
[Termes IGN] orientation absolue
[Termes IGN] orientation automatique
[Termes IGN] orientation relative
[Termes IGN] Raspberry Pi
[Termes IGN] reconstruction d'image
[Termes IGN] structure-from-motion
[Termes IGN] vision par ordinateurRésumé : (auteur) This note presents the experimental results deriving from the application of two innovative photogrammetric techniques (with particular reference to non-conventional photogrammetric applications) for the production of time-space 3D models of the marine surface. Moreover, the first method (automatic three images processing (ATIP)) proposes some easy procedures to solve typical non-linear problems of analytical photogrammetry. In particular, once validated the technique of orientation of two images (two-step procedure based on two phases: relative orientation and absolute orientation, both characterized by non-linear functions), we propose a procedure for the automatic orientation of three images (the introduction of a third image allows avoiding human decision to find the final solution). The second method (Computer Vision Raspberry Pi—CVR) refers to the use of the “prompt” technique of computer vision (structure from motion) using five appropriately synchronized cameras to acquire simultaneously the various frames, thanks to the use of an acquisition system based on the use of Raspberry Pi. The experimentation was conducted both in the laboratory (on a model that allows to study a typical phenomenon of the Alpine Valtellina region, in the North of Italy) that directly at sea (on a portion of marine surface located in Reggio Calabria near the seafront). The results obtained show a substantial comparability of the results both between the two methods and with the actual data measured at sea with dedicated instrumentation. Numéro de notice : A2019-533 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-019-00264-9 Date de publication en ligne : 22/05/2019 En ligne : https://doi.org/10.1007/s12518-019-00264-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94126
in Applied geomatics > Vol 11 n° 4 (December 2019) . - pp 353–369[article]A CNN-based subpixel level DSM generation approach via single image super-resolution / Yongjun Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 10 (October 2019)
[article]
Titre : A CNN-based subpixel level DSM generation approach via single image super-resolution Type de document : Article/Communication Auteurs : Yongjun Zhang, Auteur ; Zhi Zheng, Auteur ; Yimin Luo, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 765 - 775 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de données
[Termes IGN] appariement d'images
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] fusion de données multisource
[Termes IGN] limite de résolution radiométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] précision infrapixellaire
[Termes IGN] reconstruction d'imageRésumé : (Auteur) Previous work for subpixel level Digital Surface Model (DSM) generation mainly focused on data fusion techniques, which are extremely limited by the difficulty of multisource data acquisition. Although several DSM super resolution (SR) methods have been developed to ease the problem, a new issue that plenty of DSM samples are needed to train the model is raised. Therefore, considering the original images have vital influence on its DSM's accuracy, we address the problem by directly improving images resolution. Several SR models are refined and brought into the traditional DSM generation process as an image quality improvement stage to construct an easy but effective workflow for subpixel level DSM generation. Experiments verified the validity and significance of bringing SR technology into this kind of application. Statistical analysis also confirmed that a subpixel level DSM with higher fidelity can be obtained more easily compared to directly DSM interpolation. Numéro de notice : A2019-524 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.10.765 Date de publication en ligne : 01/10/2019 En ligne : https://doi.org/10.14358/PERS.85.10.765 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93997
in Photogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 10 (October 2019) . - pp 765 - 775[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 105-2019101 SL Revue Centre de documentation Revues en salle Disponible Bayesian iterative reconstruction methods for 3D X-ray Computed Tomography / Camille Chapdelaine (2019)
Titre : Bayesian iterative reconstruction methods for 3D X-ray Computed Tomography Type de document : Thèse/HDR Auteurs : Camille Chapdelaine, Auteur ; Charles Soussen, Directeur de thèse Editeur : Paris-Orsay : Université de Paris 11 Paris-Sud Centre d'Orsay Année de publication : 2019 Importance : 185 p. Format : 21 x 30 cm Note générale : Bibliographie
Thèse de Doctorat de l’Université Paris - Saclay préparée à l'Université Paris-Sud, Sciences et Technologies de l’Information et de la Communication (STIC), Traitement du signal et des imagesLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] artefact
[Termes IGN] faisceau
[Termes IGN] inférence
[Termes IGN] itération
[Termes IGN] processeur graphique
[Termes IGN] rayon X
[Termes IGN] reconstruction 3D
[Termes IGN] reconstruction d'image
[Termes IGN] segmentation
[Termes IGN] spectroscopie
[Termes IGN] théorème de Bayes
[Termes IGN] tomographie
[Termes IGN] volume (grandeur)Index. décimale : THESE Thèses et HDR Résumé : (auteur) In industry, 3D X-ray Computed Tomography aims at virtually imaging a volume in order to inspect its interior. The virtual volume is obtained thanks to a reconstruction algorithm based on projections of X-rays sent through the industrial part to inspect. In order to compensate uncertainties in the projections such as scattering or beam-hardening, which are cause of many artifacts in conventional filtered backprojection methods, iterative reconstruction methods bring further information by enforcing a prior model on the volume to reconstruct, and actually enhance the reconstruction quality. In this context, this thesis proposes new iterative reconstruction methods for the inspection of aeronautical parts made by SAFRAN group. In order to alleviate the computational cost due to repeated projection and backprojection operations which model the acquisition process, iterative reconstruction methods can take benefit from the use of high-parallel computing on Graphical Processor Unit (GPU). In this thesis, the implementation on GPU of several pairs of projector and backprojector is detailed. In particular, a new GPU implementation of the matched Separable Footprint pair is proposed. Since many of SAFRAN's industrial parts are piecewise-constant volumes, a Gauss-Markov-Potts prior model is introduced, from which a joint reconstruction and segmentation algorithm is derived. This algorithm is based on a Bayesian approach which enables to explain the role of each parameter. The actual polychromacy of X-rays, which is responsible for scattering and beam-hardening, is taken into account by proposing an error-splitting forward model. Combined with Gauss-Markov-Potts prior on the volume, this new forward model is experimentally shown to bring more accuracy and robustness. At last, the estimation of the uncertainties on the reconstruction is investigated by variational Bayesian approach. In order to have a reasonable computation time, it is highlighted that the use of a matched pair of projector and backprojector is necessary. Note de contenu : 1- X-ray computed tomography : an inverse problem
2- Reconstruction methods in X-ray computed tomography
3- Projection and backprojection operators
4- Gauss-Markov-Potts prior model for joint reconstruction and segmentation
5- Error-splitting forward model and its application with Gauss-Markov-Potts prior
6- Towards the estimation of the uncertainties on the reconstruction by Variational Bayesian Approach
7- Conclusion and perspectivesNuméro de notice : 25702 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Sciences et Technologies de l’Information et de la Communication (STIC) : Traitement du signal et des images : Paris 11 : 2019 Organisme de stage : Safran nature-HAL : Thèse DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-02110033 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94827
Titre : Piecewise horizontal 3D roof reconstruction from aerial Lidar Type de document : Article/Communication Auteurs : Slim Namouchi, Auteur ; Bruno Vallet , Auteur ; Imed Riadh Farah, Auteur ; Haythem Ismail, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2019 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : IGARSS 2019, IEEE International Geoscience And Remote Sensing Symposium 28/07/2019 02/08/2019 Yokohama Japon Proceedings IEEE Importance : pp 8992 - 8995 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] aide à la décision
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de points
[Termes IGN] image RVB
[Termes IGN] planification urbaine
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] reconstruction d'image
[Termes IGN] semis de points
[Termes IGN] toit
[Termes IGN] ville intelligenteRésumé : (auteur) 3D urban models provide convincing analytic tools for decision making, city planning, and smart city services. However, developing a fully automated method that can produce 3D building models of high quality, fidelity and accuracy is still a challenging task. Currently, most of the proposed approaches handle polyhedral roofs (consisting of planar polygons) because they assume that all roofs in a single area follow this prior. However, the reconstruction method could have its prior adapted to the roof type. In this paper, we are dealing with a specific roof case which is piecewise horizontal roofs which are very frequent in most countries of North Africa and in particular in Tunisia. Our building reconstruction method follows four main steps: building LiDAR points extraction, piecewise horizontal roof clustering, boundary creation and 3D geometric modeling. In order to prove the suitability and the effectiveness of the introduced method, experiments are conducted with real LiDAR data and aerial RGB image. Numéro de notice : C2019-038 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2019.8898650 Date de publication en ligne : 14/11/2019 En ligne : https://doi.org/10.1109/IGARSS.2019.8898650 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95354 Markov random field for combined defogging and stereo reconstruction / Laurent Caraffa (2018)PermalinkSparse signal modeling: Application to image compression, Image error concealment and compressed sensing / Ali Akbari (2018)PermalinkColour Helmholtz stereopsis for reconstruction of dynamic scenes with arbitrary unknown reflectance / Nadejda Roubtsova in International journal of computer vision, vol 124 n° 1 (August 2017)PermalinkCorrection du flou de mouvement sur des images prises de nuit depuis un véhicule de numérisation terrestre / Vincent Daval in Revue Française de Photogrammétrie et de Télédétection, n° 215 (mai - août 2017)PermalinkGeneralizing the prediction sum of squares statistic and formula, application to linear fractional image warp and surface fitting / Adrien Bartoli in International journal of computer vision, vol 122 n° 1 (March 2017)PermalinkNew point matching algorithm using sparse representation of image patch feature for SAR image registration / Jianwei Fan in IEEE Transactions on geoscience and remote sensing, vol 55 n° 3 (March 2017)PermalinkDictionary learning for promoting structured sparsity in hyperspectral compressive sensing / Lei Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 12 (December 2016)PermalinkObject-based morphological profiles for classification of remote sensing imagery / Christian Geiss in IEEE Transactions on geoscience and remote sensing, vol 54 n° 10 (October 2016)PermalinkAssessing the planimetric accuracy of historical maps (sixteenth to nineteenth centuries): new methods and potential for coastal landscape reconstruction / Iason Jongepier in Cartographic journal (the), Vol 53 n° 2 (May 2016)PermalinkExploiting joint sparsity for pansharpening : the J-SparseFI algorithm / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)Permalink