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Titre : Road side detection and reconstruction using Lidar sensor Type de document : Article/Communication Auteurs : Alexandre Hervieu , Auteur ; Bahman Soheilian
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : June 2013 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : IV 2013, IEEE Intelligent Vehicles Symposium 23/06/2013 26/06/2013 Gold Coast City Australie Proceedings IEEE Importance : pp 1247 - 1252 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] filtre de Kalman
[Termes IGN] reconstruction 3D
[Termes IGN] route
[Termes IGN] trottoirRésumé : (auteur) Road edge localization is key knowledge for automatic road modeling and hence, in the field of autonomous vehicles. In this paper, we investigate the case of road border detection using LIDAR data. The aim is to propose a system recognizing curbs and curb ramps and to reconstruct the missing information in case of occlusion. A prediction/estimation process (inspired by Kalman filter models) has been analyzed. The map of angle deviation to ground normal is considered as a feature set, helping to characterize efficiently curbs while curb ramps and occluded curbs have been handled with the proposed model. Such a method may be used for both road map modeling and driver-assistance systems. A user interface scheme has also been described, providing an effective tool for semi-automatic processing of a large amount of data. Numéro de notice : C2013-042 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IVS.2013.6629637 Date de publication en ligne : 15/10/2013 En ligne : http://dx.doi.org/10.1109/IVS.2013.6629637 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80223 Documents numériques
en open access
Road side detection (poster)Adobe Acrobat PDF
Titre : Semantic approach in image change detection Type de document : Article/Communication Auteurs : Adrien Gressin , Auteur ; Nicole Vincent, Auteur ; Clément Mallet
, Auteur ; Nicolas Paparoditis
, Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2013 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 8192 Conférence : ACIVS 2013, 15th International Conference on Advanced Concepts for Intelligent Vision Systems 28/10/2013 31/10/2013 Poznań Pologne Proceedings Springer Importance : pp 450 - 459 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] base de données localisées
[Termes IGN] détection de changement
[Termes IGN] processus de hiérarchisation analytiqueRésumé : (auteur) Change detection is a main issue in various domains, and especially for remote sensing purposes. Indeed, plethora of geospatial images are available and can be used to update geographical databases. In this paper, we propose a classification-based method to detect changes between a database and a more recent image. It is based both on an efficient training point selection and a hierarchical decision process. This allows to take into account the intrinsic heterogeneity of the objects and themes composing a database while limiting false detection rates. The reliability of the designed framework method is first assessed on simulated data, and then successfully applied on very high resolution satellite images and two land-cover databases. Numéro de notice : C2013-037 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Autre URL associée : erratum Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-319-02895-8_40 En ligne : http://dx.doi.org/10.1007/978-3-319-02895-8_40 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80225 Documents numériques
en open access
Semantic approach in image change detectionAdobe Acrobat PDFSemisupervised local discriminant analysis for feature extraction in hyperspectral images / W. Liao in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
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Titre : Semisupervised local discriminant analysis for feature extraction in hyperspectral images Type de document : Article/Communication Auteurs : W. Liao, Auteur ; A. Pizurica, Auteur ; Paul Scheunders, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 184 - 198 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] classification semi-dirigée
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image hyperspectrale
[Termes IGN] matriceRésumé : (Auteur) We propose a novel semisupervised local discriminant analysis method for feature extraction in hyperspectral remote sensing imagery, with improved performance in both ill-posed and poor-posed conditions. The proposed method combines unsupervised methods (local linear feature extraction methods and supervised method (linear discriminant analysis) in a novel framework without any free parameters. The underlying idea is to design an optimal projection matrix, which preserves the local neighborhood information inferred from unlabeled samples, while simultaneously maximizing the class discrimination of the data inferred from the labeled samples. Experimental results on four real hyperspectral images demonstrate that the proposed method compares favorably with conventional feature extraction methods. Numéro de notice : A2013-013 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2200106 Date de publication en ligne : 28/06/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2200106 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32151
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 1 Tome 1 (January 2013) . - pp 184 - 198[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2013011A RAB Revue Centre de documentation En réserve L003 Disponible Sketch-Finder: efficient and effective sketch-based retrieval for large image collections / Carlos Alberto Pimentel Filho (August 2013)
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Titre : Sketch-Finder: efficient and effective sketch-based retrieval for large image collections Type de document : Article/Communication Auteurs : Carlos Alberto Pimentel Filho, Auteur ; Arnaldo de Albuquerque Araújo, Auteur ; Michel Crucianu, Auteur ; Valérie Gouet-Brunet , Auteur
Editeur : Arequipa [Pérou] : Universidad Católica San Pablo UCSP Année de publication : August 2013 Conférence : SIBGRAPI 2013, 26th Brazilian Conference on Graphics, Patterns, and Images 05/08/2013 08/08/2013 Arequipa Pérou OA Proceedings Importance : pp 234 - 241 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] détection de contours
[Termes IGN] indexation
[Termes IGN] ondelette
[Termes IGN] similitude
[Termes IGN] variabilitéMots-clés libres : sketch-based image retrieval multimedia indexing scalability Résumé : (auteur) Among various image retrieval approaches, the use of sketches lets one express a precise visual query with simple and widespread means. The challenge consists in finding a content representation that allows you to effectively compare sketches and images, while supporting efficient retrieval in order to make the system scalable. We put forward a sketch-based image retrieval solution where sketches and natural image contours are represented and compared in the wavelet domain. The relevant information regarding query sketches and image content has, thus, a compact representation that can be readily employed by an efficient index for retrieval by similarity. Furthermore, with this solution, the balance between effectiveness and efficiency can be easily modified in order to adapt to the available resources. A comparative evaluation with a state-of-the-art method on the Paris dataset and a subset with 535K images of the ImageNet dataset shows that our solution can preserve effectiveness while being more than one order of magnitude faster. Numéro de notice : C2013-044 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114547_2.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80233 Study on the new methods of ship object detection based on GNSS reflection / Yong Lu in Marine geodesy, vol 36 n° 1 (January - March 2013)
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Titre : Study on the new methods of ship object detection based on GNSS reflection Type de document : Article/Communication Auteurs : Yong Lu, Auteur ; Dongkai Yang, Auteur ; Weiqiang Li, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 22 - 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] capteur aérien
[Termes IGN] détection d'objet
[Termes IGN] navire
[Termes IGN] réflectométrie par GNSSRésumé : (Auteur) This paper presents a study on the new methods of ship object detection based on GPS-R correlation power spectra. Both the principle and the algorithms for recognition are given in detail. The architecture of Doppler Delay Mapping Receiver (DDMR), signal-processing chain, and correlation power spectra discriminant of the reflected signals from the ship object are discussed. Real-time data collection campaigns were done near the sea at Sanya with the Doppler delay mapping receiver mounted on an airplane. Some preliminary experiment results show that the DDMR could work well and can be used in ship object detecting. Numéro de notice : A2013-244 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1080/01490419.2012.747456 Date de publication en ligne : 13/03/2013 En ligne : https://doi.org/10.1080/01490419.2012.747456 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32382
in Marine geodesy > vol 36 n° 1 (January - March 2013) . - pp 22 - 30[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 230-2013011 RAB Revue Centre de documentation En réserve L003 Disponible Updating land-cover maps by classification of image time series : A novel change-detection-driven transfer learning approach / Begüm Demir in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 1 (January 2013)
PermalinkAutomated delineation of individual tree crowns from lidar data by multi-scale analysis and segmentation / L. Jing in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)
PermalinkEmpirical evidence on agricultural land-use change in Sardinia, Italy, from GIS-based analysis and a Tobit model / Corrado Zoppi in Cartographica, vol 47 n° 4 (December 2012)
PermalinkEvaluation of the spatial changes in seagrass cover in the lagoons of Lakshadweep islands, India, using IRS LISS III satellite images / E.P. Nobi in Geocarto international, vol 27 n° 8 (December 2012)
PermalinkImage matching of satellite data based on quadrilateral control networks / A. Sedaghat in Photogrammetric record, vol 27 n° 140 (December 2012 - February 2013)
PermalinkLand use classification from lidar data and ortho-images in a rural area / Sandra Bujan in Photogrammetric record, vol 27 n° 140 (December 2012 - February 2013)
PermalinkLa télédétection pour la cartographie de la trame verte en milieu agricole : Évaluation des potentialités d’images multi-angulaires à très haute résolution spatiale / David Sheeren in Revue internationale de géomatique, vol 22 n° 4 (décembre 2012 – février 2013)
PermalinkTélédétection de la trame verte arborée en haute résolution par morphologie mathématique / E. Maire in Revue internationale de géomatique, vol 22 n° 4 (décembre 2012 – février 2013)
PermalinkAerial image mosaicking with aid of vector roads / D. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)
PermalinkBuilt-up and vegetation extraction and density mapping using WorldView-II / A. Kumar in Geocarto international, vol 27 n° 7 (November 2012)
PermalinkEdge-guided multiscale segmentation of satellite multispectral imagery / J. Chen in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
PermalinkMapping nighttime flood from MODIS observations using support vector machines / R. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)
PermalinkA method for detecting windows from mobile lidar data / R. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)
PermalinkOn the detection of systematic errors in terrestrial laser scanning data / J. Wang in Journal of applied geodesy, vol 6 n° 3-4 (November 2012)
PermalinkTotal variation spatial regularization for sparse hyperspectral unmixing / M. Iordache in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
PermalinkTriangular factorization-based simplex algorithms for hyperspectral unmixing / W. Xia in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
PermalinkA vector sift detector for interest point detection in hyperspectral imagery / L. Dorado-Munoz in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
PermalinkAn automated system for image-to-vector georeferencing / Y. Li in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)
PermalinkA supervised and fuzzy-based approach determine optimal multi-resolution image segmentation parameters / H. Tong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 10 (October 2012)
PermalinkCombined use of Quickbird and lidar data for mapping a urban environment / N.B. Da Luz in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)
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