ISPRS International journal of geo-information / International society for photogrammetry and remote sensing (1980 -) . vol 4 n°3Paru le : 01/09/2015 |
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est un bulletin de ISPRS International journal of geo-information / International society for photogrammetry and remote sensing (1980 -) (2012 -)
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Ajouter le résultat dans votre panierEconomic assessment of the use value of geospatial information / Richard Bernknopf in ISPRS International journal of geo-information, vol 4 n°3 (September 2015)
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Titre : Economic assessment of the use value of geospatial information Type de document : Article/Communication Auteurs : Richard Bernknopf, Auteur ; Carl Shapiro, Auteur Année de publication : 2015 Article en page(s) : pp 1142 - 1165 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Economie
[Termes IGN] aide à la décision
[Termes IGN] analyse coût-avantage
[Termes IGN] analyse de la valeur
[Termes IGN] économie de l'information géographique
[Termes IGN] édition en libre accès
[Termes IGN] imprécision des données
[Termes IGN] information géographique
[Termes IGN] innovation technologiqueRésumé : (auteur) Geospatial data inform decision makers. An economic model that involves application of spatial and temporal scientific, technical, and economic data in decision making is described. The value of information (VOI) contained in geospatial data is the difference between the net benefits (in present value terms) of a decision with and without the information. A range of technologies is used to collect and distribute geospatial data. These technical activities are linked to examples that show how the data can be applied in decision making, which is a cultural activity. The economic model for assessing the VOI in geospatial data for decision making is applied to three examples: (1) a retrospective model about environmental regulation of agrochemicals; (2) a prospective model about the impact and mitigation of earthquakes in urban areas; and (3) a prospective model about developing private–public geospatial information for an ecosystem services market. Each example demonstrates the potential value of geospatial information in a decision with uncertain information. Numéro de notice : A2015-710 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi4031142 En ligne : https://doi.org/10.3390/ijgi4031142 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78347
in ISPRS International journal of geo-information > vol 4 n°3 (September 2015) . - pp 1142 - 1165[article]Tracking 3D moving objects based on GPS/IMU navigation solution, laser scanner point cloud and GIS data / Siavash Hosseinyalamdary in ISPRS International journal of geo-information, vol 4 n°3 (September 2015)
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Titre : Tracking 3D moving objects based on GPS/IMU navigation solution, laser scanner point cloud and GIS data Type de document : Article/Communication Auteurs : Siavash Hosseinyalamdary, Auteur ; Yashar Balazadegan, Auteur ; Charles K. Toth, Auteur Année de publication : 2015 Article en page(s) : pp 1301 - 1316 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] détection d'objet
[Termes IGN] données localisées 3D
[Termes IGN] filtre de Kalman
[Termes IGN] objet géographique 3D
[Termes IGN] objet mobile
[Termes IGN] poursuite de cible
[Termes IGN] semis de points
[Termes IGN] surveillance routière
[Termes IGN] trafic routierRésumé : (auteur) Monitoring vehicular road traffic is a key component of any autonomous driving platform. Detecting moving objects, and tracking them, is crucial to navigating around objects and predicting their locations and trajectories. Laser sensors provide an excellent observation of the area around vehicles, but the point cloud of objects may be noisy, occluded, and prone to different errors. Consequently, object tracking is an open problem, especially for low-quality point clouds. This paper describes a pipeline to integrate various sensor data and prior information, such as a Geospatial Information System (GIS) map, to segment and track moving objects in a scene. We show that even a low-quality GIS map, such as OpenStreetMap (OSM), can improve the tracking accuracy, as well as decrease processing time. A bank of Kalman filters is used to track moving objects in a scene. In addition, we apply non-holonomic constraint to provide a better orientation estimation of moving objects. The results show that moving objects can be correctly detected, and accurately tracked, over time, based on modest quality Light Detection And Ranging (LiDAR) data, a coarse GIS map, and a fairly accurate Global Positioning System (GPS) and Inertial Measurement Unit (IMU) navigation solution. Numéro de notice : A2015-711 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi4031301 En ligne : https://doi.org/10.3390/ijgi4031301 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78348
in ISPRS International journal of geo-information > vol 4 n°3 (September 2015) . - pp 1301 - 1316[article]Quality evaluation of VGI using authoritative data : A comparison with land use data in Southern Germany / Helen Dorn in ISPRS International journal of geo-information, vol 4 n°3 (September 2015)
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Titre : Quality evaluation of VGI using authoritative data : A comparison with land use data in Southern Germany Type de document : Article/Communication Auteurs : Helen Dorn, Auteur ; Tobias Törnros, Auteur ; Alexander Zipf, Auteur Année de publication : 2015 Article en page(s) : pp 1657 - 1671 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] analyse comparative
[Termes IGN] base de données ATKIS
[Termes IGN] données localisées de référence
[Termes IGN] données localisées des bénévoles
[Termes IGN] OpenStreetMap
[Termes IGN] qualité des donnéesRésumé : (auteur) Volunteered Geographic Information (VGI) such as data derived from the OpenStreetMap (OSM) project is a popular data source for freely available geographic data. Normally, untrained contributors gather these data. This fact is frequently a cause of concern regarding the quality and usability of such data. In this study, the quality of OSM land use and land cover (LULC) data is investigated for an area in southern Germany. Two spatial data quality elements, thematic accuracy and completeness are addressed by comparing the OSM data with an authoritative German reference dataset. The results show that the kappa value indicates a substantial agreement between the OSM and the authoritative dataset. Nonetheless, for our study region, there are clear variations between the LULC classes. Forest covers a large area and shows both a high OSM completeness (97.6%) and correctness (95.1%). In contrast, farmland also covers a large area, but for this class OSM shows a low completeness value (45.9%) due to unmapped areas. Additionally, the results indicate that a high population density, as present in urbanized areas, seems to denote a higher strength of agreement between OSM and the DLM (Digital Landscape Model). However, a low population density does not necessarily imply a low strength of agreement. Numéro de notice : A2015-712 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi4031657 En ligne : https://doi.org/10.3390/ijgi4031657 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78349
in ISPRS International journal of geo-information > vol 4 n°3 (September 2015) . - pp 1657 - 1671[article]