Descripteur
Termes IGN > imagerie > image spatiale > image satellite > image à haute résolution
image à haute résolutionVoir aussi |
Documents disponibles dans cette catégorie (272)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers / Daniele Perissin in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)
[article]
Titre : Shanghai subway tunnels and highways monitoring through Cosmo-SkyMed Persistent Scatterers Type de document : Article/Communication Auteurs : Daniele Perissin, Auteur ; Z. Wang, Auteur ; H. Lin, Auteur Année de publication : 2012 Article en page(s) : pp 58 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] autoroute
[Termes IGN] Chine
[Termes IGN] coin réflecteur
[Termes IGN] détection de changement
[Termes IGN] image à haute résolution
[Termes IGN] image Cosmo-Skymed
[Termes IGN] Shanghai (Chine)
[Termes IGN] surveillance d'ouvrage
[Termes IGN] tunnelRésumé : (Auteur) Synthetic Aperture Radar Interferometry (InSAR) is an alternative technique to obtain measurements of surface displacement providing better spatial resolution and comparable accuracy at an extremely lower cost per area than conventional surveying methods. InSAR is becoming more and more popular in monitoring urban deformations, however, the technique requires advanced tools and high level competence to be successfully applied. In this paper we report important results obtained by analyzing new high resolution SAR data in the Shanghai urban area. The data used in this work have been acquired by the Italian X-band sensor Cosmo-SkyMed. About 1.2 million of individual and independent targets have been detected in 600 sq km, revealing impressive details of the ground surface deformation. Using the SARPROZ InSAR tool and integrating the results with Google Earth, we were able to track subway tunnels recently excavated and several highways. Tunnels are visible due to very localized subsidence of the above surface along their path. On the other hand, highways, standing over the ground, in most cases show higher stability than the surrounding areas. The density of targets is so high to allow studying the profile of the tunnel subsidence, which is very useful to predict building damage. Finally, the identification of targets on high buildings helps checking the stability of high constructions along the subway lines, highlighting possible risky situations. Numéro de notice : A2012-315 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.07.002 Date de publication en ligne : 06/09/2012 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.07.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31761
in ISPRS Journal of photogrammetry and remote sensing > vol 73 (September 2012) . - pp 58 - 67[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2012071 SL Revue Centre de documentation Revues en salle Disponible Spot the detail! / Centre national d'études spatiales in GEO: Geoconnexion international, vol 11 n° 7 (july - august 2012)
[article]
Titre : Spot the detail! Type de document : Article/Communication Auteurs : Centre national d'études spatiales, Auteur Année de publication : 2012 Article en page(s) : pp 15 - 15 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] image à haute résolution
[Termes IGN] image Pléiades-HRRésumé : (Auteur) Our cover-mounted DVD brings you sight of first products derived from very high resolution optics aboard the Pléiades 1A Earth observation satellite. Here we focus on Melbourne and the wealth of detail that makes the Australian dream a reality. Numéro de notice : A2012-301 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31747
in GEO: Geoconnexion international > vol 11 n° 7 (july - august 2012) . - pp 15 - 15[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 062-2012071 SL Revue Centre de documentation Revues en salle Disponible Towards all-in-one photogrammetry / Dieter Fritsch in GIM international, vol 26 n° 4 (April 2012)
[article]
Titre : Towards all-in-one photogrammetry Type de document : Article/Communication Auteurs : Dieter Fritsch, Auteur ; J. Kremer, Auteur ; A. Grimm, Auteur Année de publication : 2012 Article en page(s) : pp 18 - 23 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] données lidar
[Termes IGN] image à haute résolution
[Termes IGN] image aérienne oblique
[Termes IGN] orthoimage
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] semis de pointsRésumé : (Auteur) Modern photogrammetric camera architectures provides high-resolution imagery in nadir and oblique views. This case study sets out to prove the potential of oblique imagery to deliver dense point cloud to be used for DEM, 3D city model and true orthophoto generation - an important step towards 'all-in-one' photogrammetry. Numéro de notice : A2012-151 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31598
in GIM international > vol 26 n° 4 (April 2012) . - pp 18 - 23[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 061-2012041 RAB Revue Centre de documentation Revues en salle Disponible Clustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm / O. Sjahputera in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
[article]
Titre : Clustering of detected changes in high-resolution satellite imagery using a stabilized competitive agglomeration algorithm Type de document : Article/Communication Auteurs : O. Sjahputera, Auteur ; G. Scott, Auteur ; B. Claywell, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 4687 - 4703 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] chevauchement
[Termes IGN] classification floue
[Termes IGN] dalle
[Termes IGN] détection de changement
[Termes IGN] image à haute résolution
[Termes IGN] mosaïque d'imagesRésumé : (Auteur) The Geospatial Change Detection and exploitation (GeoCDX) is a fully automated system for detection and exploitation of change between multitemporal high-resolution satellite and airborne images. Overlapping multitemporal images are first organized into 256 m x 256 m tiles in a global grid reference system. The system quantifies the overall amount of change in a given tile with a tile change score as an aggregation of pixel-level changes. The tiles are initially ranked by these change scores for retrieval, review, and exploitation in a Web-based application. However, the ranking does not account for the wide variety of change types that are typically observed in the top-ranked change tiles. To automatically organize the wide variety of change patterns observed in multitemporal high-resolution imagery, we perform tile clustering using the competitive agglomeration (CA) algorithm stabilized using the fuzzy c-means (FCM) algorithm. Each resulting cluster contains tiles with a visually similar type of change. By visual inspection of these tile clusters, GeoCDX users can quickly find certain types of change without having to sift through a large number of tiles initially organized solely by their tile change score, thereby reducing the time it takes for users to discover and exploit the change pattern(s) of greatest interest to a given application (e.g., urban growth, disaster assessment, facility monitoring, etc.). The tile clusters also provide a high-level overview of the various types of change that occur between the two observations. This overview is compared with a similar yet more limited view offered by a relevance feedback tool that requires a user to select sample tiles for use as samples in the reranking process. Numéro de notice : A2011-477 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2152847 Date de publication en ligne : 22/12/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2152847 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31371
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 12 Tome 1 (December 2011) . - pp 4687 - 4703[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2011121A RAB Revue Centre de documentation En réserve L003 Disponible Object-based image analysis of high-resolution satellite images using modified cloud basis function neural network and probabilistic relaxation labeling process / A. Rizvi in IEEE Transactions on geoscience and remote sensing, vol 49 n° 12 Tome 1 (December 2011)
[article]
Titre : Object-based image analysis of high-resolution satellite images using modified cloud basis function neural network and probabilistic relaxation labeling process Type de document : Article/Communication Auteurs : A. Rizvi, Auteur ; B. Mohan, Auteur Année de publication : 2011 Article en page(s) : pp 4815 - 4820 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse d'image orientée objet
[Termes IGN] apprentissage profond
[Termes IGN] classification par réseau neuronal
[Termes IGN] estimation de précision
[Termes IGN] fonction de base radiale
[Termes IGN] image à haute résolution
[Termes IGN] processus stochastique
[Termes IGN] segmentation sémantiqueRésumé : (Auteur) Object-based image analysis is quickly gaining acceptance among remote sensing community, and object-based image classification methods are increasingly being used for classification of land use/cover units from high-resolution satellite images with results closer to human interpretation compared to per-pixel classifiers. The problem of nonlinear separability of classes in a feature space consisting of spectral/spatial/textural features is addressed by kernel-based nonlinear mapping of the feature vectors. This facilitates use of linear discriminant functions for classification as used in artificial neural networks (ANNs). In this paper, performance of a recently introduced kernel called cloud basis function (CBF) is investigated with some modification for classification. The CBF has demonstrated superior performance to the tune of about 4% higher classification accuracy compared to conventional radial basis function used in ANN. The results are further improved by using probabilistic relaxation labeling as a postprocessing step. This paper has potential applications in urban planning and urban studies. Numéro de notice : A2011-479 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2171695 Date de publication en ligne : 22/12/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2171695 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31373
in IEEE Transactions on geoscience and remote sensing > vol 49 n° 12 Tome 1 (December 2011) . - pp 4815 - 4820[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2011121A RAB Revue Centre de documentation En réserve L003 Disponible Automatic georeferencing of aerial images using stereo high-resolution satellite images / J. Oh in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 11 (November 2011)PermalinkAutomated damage indication for rapid geospatial reporting / D. Tiede in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)PermalinkExtraction of cartographic contour lines using digital terrain Model (DTM) / Kusay Jaara in Cartographic journal (the), vol 48 n° 2 (May 2011)PermalinkMonitoring Japan's triple disasters from space / Anonyme in GEO: Geoconnexion international, vol 10 n° 5 (may 2011)PermalinkHigh definition surveying and laser scanning : Leica Geosystems' Geoff Jacobs / J. Triglav in Geoinformatics, vol 14 n° 3 (01/04/2011)PermalinkLa télédétection et son application à l'étude de la végétation : quelques principes / Anne Jolly in Rendez-vous techniques, n° 31 (hiver 2011)PermalinkUse of high-resolution satellite imagery in an integrated model to predict the distribution of shade coffee tree hybrid zones / C. Gomez in Remote sensing of environment, vol 114 n° 11 (15/11/2010)PermalinkRelevé routier à très haute résolution par système LIDAR-photogrammétrique héliporté / Jacques Vallet in Géomatique suisse, vol 108 n° 9 (01/09/2010)PermalinkQuantifiying the building stock optical high-resolution satellite imagery for assessing disaster risk / D. Ehrlich in Geocarto international, vol 25 n° 4 (July 2010)PermalinkConnaître le sous-sol avant d'aménager / M. Simiar in Géomètre, n° 2070 (mai 2010)Permalink