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Combinatorial clustering and its application to 3D polygonal traffic sign reconstruction from multiple images / Bruno Vallet in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)
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[article]
Titre : Combinatorial clustering and its application to 3D polygonal traffic sign reconstruction from multiple images Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Bahman Soheilian
, Auteur ; Mathieu Brédif
, Auteur
Année de publication : 2014 Conférence : PCV 2014, ISPRS Technical Commission 3 Symposium Photogrammetric Computer vision 05/09/2014 07/09/2014 Zurich Suisse OA ISPRS Annals Article en page(s) : pp 165 - 172 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] détection d'objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] objet géographique 3D
[Termes IGN] optimisation (mathématiques)
[Termes IGN] reconstruction 3D
[Termes IGN] signalisation routière
[Termes IGN] zone urbaineMots-clés libres : 3D reconstruction, mobile mapping, urban areas, clustering Résumé : (auteur) The 3D reconstruction of similar 3D objects detected in 2D faces a major issue when it comes to grouping the 2D detections into clusters to be used to reconstruct the individual 3D objects. Simple clustering heuristics fail as soon as similar objects are close. This paper formulates a framework to use the geometric quality of the reconstruction as a hint to do a proper clustering. We present a methodology to solve the resulting combinatorial optimization problem with some simplifications and approximations in order to make it tractable. The proposed method is applied to the reconstruction of 3D traffic signs from their 2D detections to demonstrate its capacity to solve ambiguities. Numéro de notice : A2014-492 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-165-2014 Date de publication en ligne : 07/08/2014 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-165-2014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80894
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 (September 2014) . - pp 165 - 172[article]Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features / Martin Weinmann in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)
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[article]
Titre : Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features Type de document : Article/Communication Auteurs : Martin Weinmann, Auteur ; Boris Jutzi, Auteur ; Clément Mallet , Auteur
Année de publication : 2014 Conférence : PCV 2014, ISPRS Technical Commission 3 Symposium Photogrammetric Computer vision 05/09/2014 07/09/2014 Zurich Suisse OA ISPRS Annals Article en page(s) : pp 181 - 188 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse d'image numérique
[Termes IGN] classification
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] extraction de points
[Termes IGN] scène urbaine
[Termes IGN] semis de pointsRésumé : (auteur) 3D scene analysis by automatically assigning 3D points a semantic label has become an issue of major interest in recent years. Whereas the tasks of feature extraction and classification have been in the focus of research, the idea of using only relevant and more distinctive features extracted from optimal 3D neighborhoods has only rarely been addressed in 3D lidar data processing. In this paper, we focus on the interleaved issue of extracting relevant, but not redundant features and increasing their distinctiveness by considering the respective optimal 3D neighborhood of each individual 3D point. We present a new, fully automatic and versatile framework consisting of four successive steps: (i) optimal neighborhood size selection, (ii) feature extraction, (iii) feature selection, and (iv) classification. In a detailed evaluation which involves 5 different neighborhood definitions, 21 features, 6 approaches for feature subset selection and 2 different classifiers, we demonstrate that optimal neighborhoods for individual 3D points significantly improve the results of scene interpretation and that the selection of adequate feature subsets may even further increase the quality of the derived results. Numéro de notice : A2014-799 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.5194/isprsannals-II-3-181-2014 Date de publication en ligne : 07/08/2014 En ligne : http://dx.doi.org/10.5194/isprsannals-II-3-181-2014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82699
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol II-3 (September 2014) . - pp 181 - 188[article]Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves / Rubén Valbuena in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)
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[article]
Titre : Comparison of airborne laser scanning methods for estimating forest structure indicators based on Lorenz curves Type de document : Article/Communication Auteurs : Rubén Valbuena, Auteur ; Jari Vauhkonen, Auteur ; Petteri Packalen, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 23 – 33 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] arbre (flore)
[Termes IGN] courbe de Lorenz
[Termes IGN] détection d'objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] indicateur
[Termes IGN] structure d'un peuplement forestierRésumé : (Auteur) The purpose of this study was to compare a number of state-of-the-art methods in airborne laser scanning (ALS) remote sensing with regards to their capacity to describe tree size inequality and other indicators related to forest structure. The indicators chosen were based on the analysis of the Lorenz curve: Gini coefficient (GC), Lorenz asymmetry (LA), the proportions of basal area (BALM) and stem density (NSLM) stocked above the mean quadratic diameter. Each method belonged to one of these estimation strategies: (A) estimating indicators directly; (B) estimating the whole Lorenz curve; or (C) estimating a complete tree list. Across these strategies, the most popular statistical methods for area-based approach (ABA) were used: regression, random forest (RF), and nearest neighbour imputation. The latter included distance metrics based on either RF (NN–RF) or most similar neighbour (MSN). In the case of tree list estimation, methods based on individual tree detection (ITD) and semi-ITD, both combined with MSN imputation, were also studied. The most accurate method was direct estimation by best subset regression, which obtained the lowest cross-validated coefficients of variation of their root mean squared error CV(RMSE) for most indicators: GC (16.80%), LA (8.76%), BALM (8.80%) and NSLM (14.60%). Similar figures [CV(RMSE) 16.09%, 10.49%, 10.93% and 14.07%, respectively] were obtained by MSN imputation of tree lists by ABA, a method that also showed a number of additional advantages, such as better distributing the residual variance along the predictive range. In light of our results, ITD approaches may be clearly inferior to ABA with regards to describing the structural properties related to tree size inequality in forested areas. Numéro de notice : A2014-473 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.06.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.06.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74050
in ISPRS Journal of photogrammetry and remote sensing > vol 95 (September 2014) . - pp 23 – 33[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014091 RAB Revue Centre de documentation En réserve L003 Disponible Frankenstein's data / Keiran Millard in GEO: Geoconnexion international, vol 13 n° 8 (september 2014)
[article]
Titre : Frankenstein's data Type de document : Article/Communication Auteurs : Keiran Millard, Auteur Année de publication : 2014 Article en page(s) : pp 42 - 44 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] données bathymétriques
[Termes IGN] données lidar
[Termes IGN] données localisées
[Termes IGN] données localisées 3D
[Termes IGN] données massives
[Termes IGN] métadonnéesRésumé : (Auteur) When big data meets open spatial data does it create benefit for the economy or a data monster that we will not be able to control? This item considers how we can sustainably exploit big spatial data. Numéro de notice : A2014-325 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33228
in GEO: Geoconnexion international > vol 13 n° 8 (september 2014) . - pp 42 - 44[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 062-2014081 SL Revue Centre de documentation Revues en salle Disponible Neogeography and preparedness for real-to-virtual world knowledge transfer: conceptual steps to Minecraft Malta / Saviour Formosa in Future internet, vol 6 n° 3 (September 2014)
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Titre : Neogeography and preparedness for real-to-virtual world knowledge transfer: conceptual steps to Minecraft Malta Type de document : Article/Communication Auteurs : Saviour Formosa, Auteur Année de publication : 2014 Article en page(s) : pp 542 - 555 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Malte
[Termes IGN] participation du public
[Termes IGN] réalité virtuelle
[Termes IGN] SIG participatifRésumé : (auteur) Societies have rapidly morphed into complex entities that are creating accessibility, yet, at the same time, they are developing new forms of neogeographic-poverty related to information uptake. Those that have managed to partake in the opportunities provided by the web have new vistas to survive in, in contrast to the new poor who have limited or no access to information. New forms of data in spatial format are accessible to all, however few realize the implications of such a transitional change in wellbeing: Whether entire societies or individuals. The different generations taking up the information access can face different levels of accessibility that may be limited by access to online data, knowledge of usage of tools and the understanding of the results, all within the limits on the spaces they are familiar with. This paper reviews a conceptual process underlining the initial steps of a long-term project in the Maltese Islands that seeks to create an online series of tools that bring the concept of “physical place” to the different generations through the management of a major project, the creation of a 3D virtuality, employing scanning processes, GIS, conversion aspects, and a small block-based Minecraft engine. Numéro de notice : A2014-750 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3390/fi6030542 En ligne : https://doi.org/10.3390/fi6030542 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76030
in Future internet > vol 6 n° 3 (September 2014) . - pp 542 - 555[article]Quantification of L-band InSAR coherence over volcanic areas using LiDAR and in situ measurements / Mélanie Arab-Sedze in Remote sensing of environment, vol 152 (September 2014)
PermalinkPermalinkRony Gal : Evolution et avenir des produits ESRI / Anonyme in Géomatique expert, n° 100 (01/09/2014)
PermalinkA structure-aware global optimization method for reconstructing 3-D tree models from terrestrial laser scanning data / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 2 (September 2014)
PermalinkEstimation of the timber quality of scots pine with terrestrial laser scanning / Ville Kankare in Forests, vol 5 n° 8 (August 2014)
PermalinkMapping fuels at the wildland-urban interface using colour ortho-images and Lidar data / Melissa F. Rosa in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)
PermalinkExploitation de relevés scanner 3D dans un SIG / Joris Vidalenche in Géomatique expert, n° 99 (01/07/2014)
PermalinkL'intégration du scanner 3D dans la technologie BIM / Maxime Romain De La Touche in Géomatique expert, n° 99 (01/07/2014)
PermalinkProcedural modeling in 3D GIS environment / Eva Tsiliakou in International journal of 3-D information modeling, vol 3 n° 3 (July- September 2014)
PermalinkScalable multi-platform distribution of spatial 3D contents / Jan Klimke in International journal of 3-D information modeling, vol 3 n° 3 (July- September 2014)
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