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A spatio-temporal index for aerial full waveform laser scanning data / Debra F. Laefer in ISPRS Journal of photogrammetry and remote sensing, vol 138 (April 2018)
[article]
Titre : A spatio-temporal index for aerial full waveform laser scanning data Type de document : Article/Communication Auteurs : Debra F. Laefer, Auteur ; Anh-Vu Vo, Auteur ; Michela Bertolotto, Auteur Année de publication : 2018 Article en page(s) : pp 232 - 251 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre-R
[Termes IGN] base de données localisées
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forme d'onde pleine
[Termes IGN] index spatiotemporel
[Termes IGN] indexation spatiale
[Termes IGN] octreeRésumé : (Auteur) Aerial laser scanning is increasingly available in the full waveform version of the raw signal, which can provide greater insight into and control over the data and, thus, richer information about the scanned scenes. However, when compared to conventional discrete point storage, preserving raw waveforms leads to vastly larger and more complex data volumes. To begin addressing these challenges, this paper introduces a novel bi-level approach for storing and indexing full waveform (FWF) laser scanning data in a relational database environment, while considering both the spatial and the temporal dimensions of that data. In the storage scheme's upper level, the full waveform datasets are partitioned into spatial and temporal coherent groups that are indexed by a two-dimensional R∗-tree. To further accelerate intra-block data retrieval, at the lower level a three-dimensional local octree is created for each pulse block. The local octrees are implemented in-memory and can be efficiently written to a database for reuse. The indexing solution enables scalable and efficient three-dimensional (3D) spatial and spatio-temporal queries on the actual pulse data - functionalities not available in other systems. The proposed FWF laser scanning data solution is capable of managing multiple FWF datasets derived from large flight missions. The flight structure is embedded into the data storage model and can be used for querying predicates. Such functionality is important to FWF data exploration since aircraft locations and orientations are frequently required for FWF data analyses. Empirical tests on real datasets of up to 1 billion pulses from Dublin, Ireland prove the almost perfect scalability of the system. The use of the local 3D octree in the indexing structure accelerated pulse clipping by 1.2–3.5 times for non-axis-aligned (NAA) polyhedron shaped clipping windows, while axis-aligned (AA) polyhedron clipping was better served using only the top indexing layer. The distinct behaviours of the hybrid indexing for AA and NAA clipping windows are attributable to the different proportion of the local-index-related overheads with respect to the total querying costs. When temporal constraints were added, generally the number of costly spatial checks were reduced, thereby shortening the querying times. Numéro de notice : A2018-125 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.01.012 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.01.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89587
in ISPRS Journal of photogrammetry and remote sensing > vol 138 (April 2018) . - pp 232 - 251[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018041 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018043 DEP-EXM Revue LASTIG Dépôt en unité Exclu du prêt 081-2018042 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt Generative street addresses from satellite imagery / İlke Demir in ISPRS International journal of geo-information, vol 7 n° 3 (March 2018)
[article]
Titre : Generative street addresses from satellite imagery Type de document : Article/Communication Auteurs : İlke Demir, Auteur ; Forest Hughes, Auteur ; Aman Raj, Auteur ; Kaunil Dhruv, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] adresse postale
[Termes IGN] apprentissage profond
[Termes IGN] extraction du réseau routier
[Termes IGN] graphe
[Termes IGN] image satellite
[Termes IGN] routeRésumé : (Auteur) We describe our automatic generative algorithm to create street addresses from satellite images by learning and labeling roads, regions, and address cells. Currently, 75% of the world’s roads lack adequate street addressing systems. Recent geocoding initiatives tend to convert pure latitude and longitude information into a memorable form for unknown areas. However, settlements are identified by streets, and such addressing schemes are not coherent with the road topology. Instead, we propose a generative address design that maps the globe in accordance with streets. Our algorithm starts with extracting roads from satellite imagery by utilizing deep learning. Then, it uniquely labels the regions, roads, and structures using some graph- and proximity-based algorithms. We also extend our addressing scheme to (i) cover inaccessible areas following similar design principles; (ii) be inclusive and flexible for changes on the ground; and (iii) lead as a pioneer for a unified street-based global geodatabase. We present our results on an example of a developed city and multiple undeveloped cities. We also compare productivity on the basis of current ad hoc and new complete addresses. We conclude by contrasting our generative addresses to current industrial and open solutions. Numéro de notice : A2018-095 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7030084 En ligne : https://doi.org/10.3390/ijgi7030084 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89507
in ISPRS International journal of geo-information > vol 7 n° 3 (March 2018)[article]Progressive registration of image features and 3D vector lines for orientation modelling / Wen-Chi Chang in Photogrammetric record, vol 33 n° 161 (March 2018)
[article]
Titre : Progressive registration of image features and 3D vector lines for orientation modelling Type de document : Article/Communication Auteurs : Wen-Chi Chang, Auteur ; Ching-Hui Hung, Auteur ; Liang-Chien Chen, Auteur Année de publication : 2018 Article en page(s) : pp 66 - 85 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] arc
[Termes IGN] élément d'orientation externe
[Termes IGN] ligne (géométrie)
[Termes IGN] superposition d'imagesRésumé : (Auteur) This paper proposes a progressive method to register image features and three‐dimensional (3D) vector lines for image orientation modelling. Directed at images acquired with an approximate direct‐georeferencing capability, this study employed 3D vector lines extracted from a geographical information system (GIS) database as ground control. The major work comprises three steps: (1) straight lines were parameterised and applied as control in the collinearity condition equations to determine exterior orientation parameters (EOPs); (2) coarse registration employed quadrangle features formed from straight lines to modify the initial EOPs; and (3) a two‐step fine registration, initially involving all line‐feature candidates, followed by the selection of the most probable one from neighbouring lines. Experimental results indicate that the proposed methods can achieve an accuracy of about 2 pixels (close to the accuracy of the employed GIS database) from initial EOPs with more than 800 pixel errors. Accuracy improvements in each step of the proposed coarse‐to‐fine registration are also demonstrated. Numéro de notice : A2018-220 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/phor.12227 Date de publication en ligne : 12/02/2018 En ligne : https://doi.org/10.1111/phor.12227 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90040
in Photogrammetric record > vol 33 n° 161 (March 2018) . - pp 66 - 85[article]Systematic error reduction in geometric measurements based on altimetric enrichment of geographical features / Jean-François Girres in Cartographica, vol 53 n° 1 (Spring 2018)
[article]
Titre : Systematic error reduction in geometric measurements based on altimetric enrichment of geographical features Type de document : Article/Communication Auteurs : Jean-François Girres , Auteur Année de publication : 2018 Article en page(s) : pp 52 - 61 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] données localisées 2D
[Termes IGN] données vectorielles
[Termes IGN] erreur systématique
[Termes IGN] mesure géométrique
[Termes IGN] modèle numérique de surface
[Termes IGN] objet géographique
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) In most GIS software, geometric measurements (length, area) computed from the geometry of vector objects are performed in two dimensions, which generates systematic underestimates. Several reasons can explain this critical situation: two of these include deficiencies in the geometric modelling of vector data and absence of correctly implemented methods for computing measurements using altitudes. To reduce the systematic error in geometric measurements caused by the omission of altitudes, methods are proposed to (1) enrich the geometry of geographical features using external altimetric data and (2) compute length and area using altitudes. These propositions are implemented in a model that allows any GIS user to take terrain into account in the computation of length and area and estimate the underestimation involved in two-dimensional measurements. Experiments are finally performed to illustrate the functioning of the model and test the impact of the quality of several altimetric data sources. Results demonstrate that freely available digital elevation models reduce measurement error. Based on comparisons with high-resolution databases, the results also show that omitting the terrain is not sufficient to assess the entire measurement error, which is also affected by other processes, such as digitizing error and cartographic projection. Numéro de notice : A2018-207 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3138/cart.53.1.2017-0006 Date de publication en ligne : 21/03/2018 En ligne : https://doi.org/10.3138/cart.53.1.2017-0006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89923
in Cartographica > vol 53 n° 1 (Spring 2018) . - pp 52 - 61[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2018011 SL Revue Centre de documentation Revues en salle Disponible LRAGE : learning latent relationships with adaptive graph embedding for aerial scene classification / Yuebin Wang in IEEE Transactions on geoscience and remote sensing, vol 56 n° 2 (February 2018)
[article]
Titre : LRAGE : learning latent relationships with adaptive graph embedding for aerial scene classification Type de document : Article/Communication Auteurs : Yuebin Wang, Auteur ; Liqiang Zhang, Auteur ; Xiaohua Tong, Auteur ; Feiping Nie, Auteur ; Haiyang Huang, Auteur ; Jie Mei, Auteur Année de publication : 2018 Article en page(s) : pp 621 - 634 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage automatique
[Termes IGN] classification semi-dirigée
[Termes IGN] graphe
[Termes IGN] image aérienne
[Termes IGN] programmation par contraintes
[Termes IGN] régression linéaire
[Termes IGN] scèneRésumé : (Auteur) The performance of scene classification relies heavily on the spatial and structural features that are extracted from high spatial resolution remote-sensing images. Existing approaches, however, are limited in adequately exploiting latent relationships between scene images. Aiming to decrease the distances between intraclass images and increase the distances between interclass images, we propose a latent relationship learning framework that integrates an adaptive graph with the constraints of the feature space and label propagation for high-resolution aerial image classification. To describe the latent relationships among scene images in the framework, we construct an adaptive graph that is embedded into the constrained joint space for features and labels. To remove redundant information and improve the computational efficiency, subspace learning is introduced to assist in the latent relationship learning. To address out-of-sample data, linear regression is adopted to project the semisupervised classification results onto a linear classifier. Learning efficiency is improved by minimizing the objective function via the linearized alternating direction method with an adaptive penalty. We test our method on three widely used aerial scene image data sets. The experimental results demonstrate the superior performance of our method over the state-of-the-art algorithms in aerial scene image classification. Numéro de notice : A2018-189 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2017.2752217 Date de publication en ligne : 24/10/2017 En ligne : https://doi.org/10.1109/TGRS.2017.2752217 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89854
in IEEE Transactions on geoscience and remote sensing > vol 56 n° 2 (February 2018) . - pp 621 - 634[article]Nouvelle méthode en cascade pour la classification hiérarchique multi-temporelle ou multi-capteur d'images satellitaires haute résolution / Ihsen Hedhli in Revue Française de Photogrammétrie et de Télédétection, n° 216 (février 2018)PermalinkRecognition of building group patterns in topographic maps based on graph partitioning and random forest / Xianjin He in ISPRS Journal of photogrammetry and remote sensing, vol 136 (February 2018)PermalinkA typification method for linear pattern in urban building generalisation / Xianyong Gong in Geocarto international, vol 33 n° 2 (February 2018)PermalinkPermalinkCut-Pursuit algorithm for regularizing nonsmooth functionals with graph total variation / Hugo Raguet (2018)PermalinkPermalinkPermalinkPermalinkMixed integer–real least squares estimation for precise GNSS positioning using a modified ambiguity function approach / Krzysztof Nowel in GPS solutions, vol 22 n° 1 (January 2018)PermalinkPermalinkWeighted simplicial complex reconstruction from mobile laser scanning using sensor topology / Stéphane Guinard (2018)PermalinkAn automated displaced proportional circle map using Delaunay triangulation and an algorithm for node overlap removal / David Lamb in Cartographica, vol 52 n° 4 (Winter 2017)PermalinkCentrality-based hierarchy for street network generalization in multi-resolution maps / Wasim Shoman in Geocarto international, vol 32 n° 12 (December 2017)PermalinkCut Pursuit: Fast algorithms to learn piecewise constant functions on general weighted graphs / Loïc Landrieu in SIAM Journal on Imaging Sciences, vol 10 n° 4 (November 2017)PermalinkHub Labels on the database for large-scale graphs with the COLD framework / Alexandros Efentakis in Geoinformatica, vol 21 n° 4 (October - December 2017)PermalinkUncertain Voronoi cell computation based on space decomposition / Klaus Arthur Schmid in Geoinformatica, vol 21 n° 4 (October - December 2017)PermalinkExploiting illusory grid lines for object-location memory performance in urban topographic maps / Frank Dickmann in Cartographic journal (the), Vol 54 n° 3 (August 2017)PermalinkA graph-based approach to detect spatiotemporal dynamics in satellite image time series / Fabio Guttler in ISPRS Journal of photogrammetry and remote sensing, vol 130 (August 2017)PermalinkMulti-view performance capture of surface details / Nadia Robertini in International journal of computer vision, vol 124 n° 1 (August 2017)PermalinkPermalink