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Urban building reconstruction from raw LiDAR point data / Cheng Yi in Computer-Aided Design, vol 9x (2017)
[article]
Titre : Urban building reconstruction from raw LiDAR point data Type de document : Article/Communication Auteurs : Cheng Yi, Auteur ; et al., Auteur Année de publication : 2017 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] espace urbain
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de pointsRésumé : (auteur) We present a method for automatic reconstruction of the volumetric structures of urban buildings, directly from raw LiDAR point clouds. Given the large-scale LiDAR data from a group of urban buildings, we take advantage of the “divide-and-conquer” strategy to decompose the entire point clouds into a number of subsets, each of which corresponds to an individual building. For each urban building, we determine its upward direction and partition the corresponding point data into a series of consecutive blocks, achieved by investigating the distributions of feature points of the building along the upward direction. Next, we propose a novel algorithm, Spectral Residual Clustering (SRC), to extract the primitive elements within the contours of blocks from the sectional point set, which is formed by registering the series of consecutive slicing points. Subsequently, we detect the geometric constraints among primitive elements through individual fitting, and perform constrained fitting over all primitive elements to obtain the accurate contour. On this basis, we execute 3D modeling operations, like extrusion, lofting or sweeping, to generate the 3D models of blocks. The final accurate 3D models are generated by applying the union Boolean operations over the block models. We evaluate our reconstruction method on a variety of raw LiDAR scans to verify its robustness and effectiveness. Numéro de notice : A2017-429 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cad.2017.07.005 En ligne : https://doi.org/10.1016/j.cad.2017.07.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86328
in Computer-Aided Design > vol 9x (2017)[article]Using landsat surface reflectance data as a reference target for multiswath hyperspectral data collected over mixed agricultural rangeland areas / Cooper McCann in IEEE Transactions on geoscience and remote sensing, vol 55 n° 9 (September 2017)
[article]
Titre : Using landsat surface reflectance data as a reference target for multiswath hyperspectral data collected over mixed agricultural rangeland areas Type de document : Article/Communication Auteurs : Cooper McCann, Auteur ; Kevin S. Repasky, Auteur ; Mikindra Morin, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 5002 - 5014 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agriculture
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat
[Termes IGN] image multibande
[Termes IGN] mosaïquage d'images
[Termes IGN] paturage
[Termes IGN] qualité radiométrique (image)
[Termes IGN] réflectance de surfaceRésumé : (Auteur) Low-cost flight-based hyperspectral imaging systems have the potential to provide important information for ecosystem and environmental studies as well as aide in land management. To realize this potential, methods must be developed to provide large-area surface reflectance data allowing for temporal data sets at the mesoscale. This paper describes a bootstrap method of producing a large-area, radiometrically referenced hyperspectral data set using the Landsat surface reflectance (LaSRC) data product as a reference target. The bootstrap method uses standard hyperspectral processing techniques that are extended to remove uneven illumination conditions between flight passes, allowing for radiometrically self-consistent data after mosaicking. Through selective spectral and spatial resampling, LaSRC data are used as a radiometric reference target. Advantages of the bootstrap method include the need for minimal site access, no ancillary instrumentation, and automated data processing. Data from two hyperspectral flights over the same managed agricultural and unmanaged range land covering approximately 5.8 km2 acquired on June 21, 2014 and June 24, 2015 are presented. Data from a flight over agricultural land collected on June 6, 2016 are compared with concurrently collected ground-based reflectance spectra as a means of validation. Numéro de notice : A2017-665 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2017.2699618 En ligne : http://dx.doi.org/10.1109/TGRS.2017.2699618 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87102
in IEEE Transactions on geoscience and remote sensing > vol 55 n° 9 (September 2017) . - pp 5002 - 5014[article]Using NoSQL databases in the 3D cadastre domain / Nenad Višnjevac in Geodetski vestnik, vol 61 n° 3 (September - November 2017)
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Titre : Using NoSQL databases in the 3D cadastre domain Type de document : Article/Communication Auteurs : Nenad Višnjevac, Auteur ; Rajica Mihajlović, Auteur ; Mladen Šoškić, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 412 - 426 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre numérique
[Termes IGN] cadastre
[Termes IGN] cadastre 3D
[Termes IGN] MongoDB
[Termes IGN] NoSQL
[Termes IGN] système de gestion de base de données
[Termes IGN] système de gestion de bases de données relationnelles
[Termes IGN] visualisationRésumé : (Auteur) The 3D cadastre concept brings data models, which are more complex than traditional 2D cadastral data models and could be followed by a large amount of data. The 3D cadastral data should be stored in database management systems, since the cadastral data integrity and consistency have to be satisfied. Relational database management system requires a tabular structure where data are stored within predefined columns and data types, and this could be uncomfortable for 3D cadastre until relational provides full 3D support. This study examines the possibility of using NoSQL databases in the 3D cadastre domain. NoSQL database stores unstructured data, which means that it is not required to define in advance what data types and categories will be used. From the 3D cadastre point of view, the NoSQL approach provides flexibility in data types and allows easier implementation of the 3D cadastral models. The implementation is conducted by using MongoDB and 3D Cadastral Data Model, where 3D cadastral data, including both alphanumerical and geometry part of data, are prepared for importing and then stored, managed, queried, and updated within NoSQL database. Furthermore, data stored in MongoDB are visualized and queried inside a web browser by using Cesium library. Numéro de notice : A2017-606 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.15292//geodetski-vestnik.2017.03.41 En ligne : http://dx.doi.org/10.15292//geodetski-vestnik.2017.03.412-426 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86916
in Geodetski vestnik > vol 61 n° 3 (September - November 2017) . - pp 412 - 426[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 139-2017031 RAB Revue Centre de documentation En réserve L003 Disponible Visual inspection of fire-damaged concrete based on terrestrial laser scanner data / Wallace Mukupa in Applied geomatics, vol 9 n° 3 (September 2017)
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Titre : Visual inspection of fire-damaged concrete based on terrestrial laser scanner data Type de document : Article/Communication Auteurs : Wallace Mukupa, Auteur ; Craig M. Hancock, Auteur ; Gethin W. Roberts, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 143 - 158 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] auscultation d'ouvrage
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] incendieRésumé : (Auteur) Visual condition survey and inspection is typically the initial method employed in the assessment of concrete damaged by fire, and it is among the most significant non-destructive testing methods. In spite of visual inspection being simple in principle, it is capable of providing cardinal information about the condition of the fire-damaged structure and act as a basis upon which subsequent and detailed assessment methods can be founded. When concrete is exposed to various elevated temperatures, it undergoes change in its physical characteristics among others, and indicators such as change in surface texture, cracks, spalling and colour change become evident. These indicators of fire-damaged concrete can be assessed using visual inspection methods and further assessed with more advanced methods in a case where detailed investigations are needed. In this study, visual inspection of terrestrial laser scanner data of fire-damaged concrete was investigated by modelling and analysing laser intensity. An analysis of the generated intensity images from laser intensity data has proved useful and valuable in the visual inspection of concrete before and after heating. Furthermore, laser scanner geometric data has been used in the assessment of concrete surface roughness before and after heating. Numéro de notice : A2017-596 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s12518-017-0188-9 Date de publication en ligne : 25/04/2017 En ligne : https://doi.org/10.1007/s12518-017-0188-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86808
in Applied geomatics > vol 9 n° 3 (September 2017) . - pp 143 - 158[article]HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios / Jeanne M. Jones in Computers & geosciences, vol 109 (December 2017)
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Titre : HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios Type de document : Article/Communication Auteurs : Jeanne M. Jones, Auteur ; Kevin Henry, Auteur ; Nathan Wood, Auteur ; et al., Auteur Année de publication : 2017 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] application web
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] données socio-économiques
[Termes IGN] inondation
[Termes IGN] modèle d'incertitude
[Termes IGN] montée du niveau de la mer
[Termes IGN] risque naturel
[Termes IGN] tempête
[Termes IGN] visualisation de données
[Termes IGN] visualisation dynamiqueRésumé : (auteur) The Hazard Exposure Reporting and Analytics (HERA) dynamic web application was created to provide a platform that makes research on community exposure to coastal-flooding hazards influenced by sea level rise accessible to planners, decision makers, and the public in a manner that is both easy to use and easily accessible. HERA allows users to (a) choose flood-hazard scenarios based on sea level rise and storm assumptions, (b) appreciate the modeling uncertainty behind a chosen hazard zone, (c) select one or several communities to examine exposure, (d) select the category of population or societal asset, and (e) choose how to look at results. The application is designed to highlight comparisons between (a) varying levels of sea level rise and coastal storms, (b) communities, (c) societal asset categories, and (d) spatial scales. Through a combination of spatial and graphical visualizations, HERA aims to help individuals and organizations to craft more informed mitigation and adaptation strategies for climate-driven coastal hazards. This paper summarizes the technologies used to maximize the user experience, in terms of interface design, visualization approaches, and data processing. Numéro de notice : A2017-408 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.cageo.2017.08.012 En ligne : https://doi.org/10.1016/j.cageo.2017.08.012 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86290
in Computers & geosciences > vol 109 (December 2017)[article]3D local feature BKD to extract road information from mobile laser scanning point clouds / Yang Bisheng in ISPRS Journal of photogrammetry and remote sensing, vol 130 (August 2017)PermalinkFrom subpixel to superpixel : a novel fusion framework for hyperspectral image classification / Ting Lu in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (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)PermalinkImproving Finnish multi-source national forest inventory by 3D aerial imaging / Sakari Tuominen in Silva fennica, vol 51 n° 4 (2017)PermalinkLearning a discriminative distance metric with label consistency for scene classification / Yuebin Wang in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (August 2017)PermalinkLearning sensor-specific spatial-spectral features of hyperspectral images via convolutional neural networks / Shaohui Mei in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (August 2017)PermalinkModeling canopy reflectance over sloping terrain based on path length correction / Gaofei Yin in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (August 2017)PermalinkParallax-tolerant aerial image georegistration and efficient camera pose refinement—without piecewise homographies / Hadi AliAkbarpour in IEEE Transactions on geoscience and remote sensing, vol 55 n° 8 (August 2017)PermalinkPotential application of remote sensing in monitoring ecosystem services of forests, mangroves and urban areas / Ram Avtar in Geocarto international, vol 32 n° 8 (August 2017)PermalinkRetrieving grassland canopy water content by considering the information from neighboring pixels / Binbin He in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 8 (August 2017)Permalink