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Landmark based localization: LBA refinement using MCMC-optimized projections of RJMCMC-extracted road marks / Bahman Soheilian (2016)
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Titre : Landmark based localization: LBA refinement using MCMC-optimized projections of RJMCMC-extracted road marks Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur ; Xiaozhi Qu
, Auteur ; Mathieu Brédif
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2016 Conférence : IV 2016, IEEE Intelligent Vehicles Symposium 19/06/2016 22/06/2016 Göteborg Suède Proceedings IEEE Importance : pp 940 - 947 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] géolocalisation
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] scène 3D
[Termes IGN] signalisation routière
[Termes IGN] zone urbaineRésumé : (auteur) Precise localization in dense urban areas is a challenging task for both mobile mapping and driver assistance systems. This paper proposes a strategy to use road markings as localization landmarks for vision based systems. First step consists in reconstructing a map of road marks. A mobile mapping system equipped with precise georeferencing devices is applied to scan the scene in 3D and to generate an ortho-image of the road surface. A RJMCMC sampler that is coupled with a simulated annealing method is applied to detect occurrences of road marking templates instanced from an extensible database of road mark patterns. The detected objects are reconstructed in 3D using the height information obtained from 3D points. A calibrated camera and a low cost GPS receiver are embedded on a vehicle and used as localization devices. Local bundle adjustment (LBA) is applied to estimate the trajectory of the vehicle. In order to reduce the drift of the trajectory, images are matched with the reconstructed road marks frequently. The matching is initialized by the initial poses that are estimated by LBA and optimized by a MCMC algorithm. The matching provides ground control points that are integrated in the LBA in order to refine the pose parameters. The method is evaluated on a set of images acquired in a real urban area and is compared with a precise ground-truth. Numéro de notice : C2016-036 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IVS.2016.7535501 Date de publication en ligne : 08/08/2016 En ligne : https://doi.org/10.1109/IVS.2016.7535501 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91797
Titre : Visibility estimation and joint inpainting of lidar depth maps Type de document : Article/Communication Auteurs : Marco Bevilacqua, Auteur ; Jean-François Aujol, Auteur ; Mathieu Brédif , Auteur ; Aurélie Bugeau, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2016 Projets : 1-Pas de projet / Conférence : ICIP 2016, 23rd IEEE International Conference on Image Processing 25/09/2016 28/09/2016 Phoenix Arizona - Etats-Unis Proceedings IEEE Importance : pp 3503 - 3507 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] carte de profondeur
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] retouche
[Termes IGN] semis de points
[Termes IGN] visibilitéRésumé : (auteur) This paper presents a novel variational image inpainting method to solve the problem of generating, from 3-D lidar measures, a dense depth map coherent with a given color image, tackling visibility issues. When projecting the lidar point cloud onto the image plane, we generally obtain a sparse depth map, due to undersampling. Moreover, lidar and image sensor positions generally differ during acquisition, such that depth values referring to objects that are hidden from the image view point might appear with a naive projection. The proposed algorithm estimates the complete depth map, while simultaneously detecting and excluding those hidden points. It consists in a primal-dual optimization method, where a coupled total variation regularization term is included to match the depth and image gradients and a visibility indicator handles the selection of visible points. Tests with real data prove the effectiveness of the proposed strategy. Numéro de notice : C2016-035 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2016.7533011 Date de publication en ligne : 19/08/2016 En ligne : https://doi.org/10.1109/ICIP.2016.7533011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91794
Titre : 3D heterogeneous interactive web mapping application Type de document : Article/Communication Auteurs : Quoc-Dinh Nguyen , Auteur ; Alexandre Devaux
, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2015 Conférence : VR 2015, IEEE Virtual reality 23/03/2015 27/03/2015 Arles France Proceedings IEEE Importance : pp 323 - 324 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] données localisées 3D
[Termes IGN] globe virtuel
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] réalité augmentée
[Termes IGN] réalité virtuelle
[Termes IGN] scène urbaine
[Termes IGN] SIG 3D
[Termes IGN] web mapping
[Termes IGN] webGLRésumé : (auteur) The internet browsers nowadays show incredible possibilities with HTML5. It makes it possible to use all the power of your device such as the GPU and all its sensors, GPS, accelerometer, camera, etc. The ability to put hardware-accelerated 3D content in the browser provides a way for the creation of new web based applications that were previously the exclusive domain of the desktop environment. This paper introduces a novel implementation of a 3D GIS WebGL-based navigation system which allows end-users to navigate in a 3D realistic and immersive urban scene, to interact with different spatial data such as panoramic image, laser, 3D-city model, and vector data with modern functionalities such as using your smartphone as a remote, render for 3D screen and make the scene dynamic. Numéro de notice : C2015-032 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : GEOMATIQUE/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/VR.2015.7223426 Date de publication en ligne : 27/08/2015 En ligne : https://doi.org/10.1109/VR.2015.7223426 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83155 Assessment of the relevance of information derived from the unmixing of polarimetric radar images / Sébastien Giordano (2015)
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Titre : Assessment of the relevance of information derived from the unmixing of polarimetric radar images Type de document : Article/Communication Auteurs : Sébastien Giordano , Auteur ; Grégoire Mercier, Auteur ; Jean-Paul Rudant
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2015 Conférence : IGARSS 2015, International Geoscience And Remote Sensing Symposium 26/07/2015 31/07/2015 Milan Italie Proceedings IEEE Importance : pp 3778 - 3781 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] décomposition spectrale
[Termes IGN] données polarimétriques
[Termes IGN] polarimétrie radar
[Termes IGN] polarisationMots-clés libres : unmixing radar polarimetry polarimetric decomposition Résumé : (auteur) A new method to unmix radar polarimetric images with optical images was proposed. This method has pointed out that the unmixing model is able to split off polarimetric information on a land cover type basis. In this paper unmixed radar polarimetric images obtained are compared with the observed ones in non-mixed conditions. Then, Cloude and Pottier decomposition is performed on the unmixed and observed radar images to asses whether the understanding of physical scattering mechanisms is improved with the unmixing. Finally, a classification experiment is designed to determine whether this fusion framework make the transfer of information from the optical images to the unmixed radar images possible. Numéro de notice : C2015-020 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : https://doi.org/10.1109/IGARSS.2015.7326646 Date de publication en ligne : 12/11/2015 En ligne : https://doi.org/10.1109/IGARSS.2015.7326646 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83179 Contribution of textural information from TerraSAR-X image for forest mapping / Cécile Cazals (2015)
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Titre : Contribution of textural information from TerraSAR-X image for forest mapping Type de document : Article/Communication Auteurs : Cécile Cazals , Auteur ; H. Benelcadi, Auteur ; Pierre-Louis Frison
, Auteur ; Grégoire Mercier, Auteur ; Cédric Lardeux, Auteur ; Nesrine Chehata
, Auteur ; I. Champion, Auteur ; Jean-Paul Rudant
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2015 Conférence : IGARSS 2015, International Geoscience And Remote Sensing Symposium 26/07/2015 31/07/2015 Milan Italie Proceedings IEEE Importance : pp 549 - 552 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse discriminante
[Termes IGN] analyse texturale
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] forêt
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-XRésumé : (auteur) This study evaluates the potential of High Resolution Spotlight TerraSAR-X image for forest type discrimination. Emphasis is put on textural analysis accessible with high resolution radar data. Textural attributes are extracted from GLCM matrices, wavelet, and Fourier Transform (i.e. FOTO method). Their contribution for classification is assessed by their performance through the SVM algorithm. Numéro de notice : C2015-058 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2015.7325822 Date de publication en ligne : 12/11/2015 En ligne : http://dx.doi.org/10.1109/IGARSS.2015.7325822 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91805 PermalinkFusion of Lidar and SAR data for land-cover mapping in natural environments / Clara Barbanson (2015)
PermalinkKite-borne photogrammetry for decimetric 3D mapping of several square kilometres areas / Denis Feurer (2015)
PermalinkPermalinkA Random Forest class memberships based wrapper band selection criterion : application to hyperspectral / Arnaud Le Bris (2015)
PermalinkRetrieving the stand age from a retrospective detection of multinannual forest changes using Landsat data. Application on the heavily managed maritime pine forest in Southwestern France from a 30-year Landsat time-series (1984–2014) / Dominique Guyon (2015)
PermalinkPermalinkPermalinkAgricultural field delimitation using active learning and random forests margin / Karim Ghariani (2014)
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PermalinkCombining top-down and bottom-up approaches for building detection in a single very high resolution satellite image / Mahmoud Mohammed Sidi Youssef (2014)
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