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La 3ème journée de l'imagerie géospatiale / Anonyme in Géomatique expert, n° 79 (01/03/2011)
[article]
Titre : La 3ème journée de l'imagerie géospatiale Type de document : Article/Communication Auteurs : Anonyme, Auteur Année de publication : 2011 Article en page(s) : pp 24 - 26 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Télédétection
[Termes IGN] GeoLab
[Termes IGN] image Ikonos
[Termes IGN] image satellite
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] logiciel de traitement d'image
[Termes IGN] observation de la TerreRésumé : (Auteur) La journée de l'imagerie géospatiale, organisée par Geosystems France, est l'occasion annuelle de faire le point sur la gamme de produits Erdas. Cette édition était également placée sous le signe du rapprochement Erdas - Intergraph. Numéro de notice : A2011-121 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30901
in Géomatique expert > n° 79 (01/03/2011) . - pp 24 - 26[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 265-2011021 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P001267 PER Revue Nogent-sur-Vernisson Salle périodiques Exclu du prêt Construction of digital 3D highway model using stereo IKONOS satellite imagery / Ahmed Shaker in Geocarto international, vol 26 n° 1 (February 2011)
[article]
Titre : Construction of digital 3D highway model using stereo IKONOS satellite imagery Type de document : Article/Communication Auteurs : Ahmed Shaker, Auteur ; W. Yan, Auteur ; S. Easa, Auteur Année de publication : 2011 Article en page(s) : pp 49 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] autoroute
[Termes IGN] extraction semi-automatique
[Termes IGN] géoréférencement indirect
[Termes IGN] Hong-Kong
[Termes IGN] image Ikonos
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] point d'appui
[Termes IGN] signalisation routière
[Termes IGN] TorontoRésumé : (Auteur) This study aims to assess the accuracy of using stereo high resolution satellite imagery for extracting the highway profiles and plans and constructing accurate 3D highway visualization model. Two stereo-pair IKONOS satellite images for Hong Kong and Toronto are geo-referenced by using a number of ground control points acquired by global positioning system measurements. A polynomial-based generic pushbroom model and rational function model are used to perform the sensor orientation, respectively. The highway alignments are extracted semi-automatically using stereoscopic measurements, and a 3D digital model along the highway is constructed. It is found that the highway alignments retrieved from the stereo IKONOS images result in less than 1-m root mean squared error in most of the cases in the horizontal and vertical directions. Near half-pixel accuracy can be achieved by using pansharpening stereo satellite imagery and under the condition that clear road surface markings can be identified along the highway. Numéro de notice : A2011-036 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.537785 Date de publication en ligne : 04/12/2010 En ligne : https://doi.org/10.1080/10106049.2010.537785 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30817
in Geocarto international > vol 26 n° 1 (February 2011) . - pp 49 - 67[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method / Xuefei Hu in Geocarto international, vol 26 n° 1 (February 2011)
[article]
Titre : Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method Type de document : Article/Communication Auteurs : Xuefei Hu, Auteur ; Q. Weng, Auteur Année de publication : 2011 Article en page(s) : pp 3 - 20 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification floue
[Termes IGN] détection d'objet
[Termes IGN] extraction automatique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] Indianapolis
[Termes IGN] logique floue
[Termes IGN] milieu urbain
[Termes IGN] pansharpening (fusion d'images)
[Termes IGN] surface imperméable
[Termes IGN] villeRésumé : (Auteur) The study of impervious surfaces is crucial to the sustainable development of urban areas due to its strong impact on urban environments. Remotely sensed high-resolution imagery has the advantage of providing more spatial details; however, digital image processing algorithms have not been well developed to accommodate this advantage and other characteristics of such imagery. In this article, an object-based fuzzy classification approach for impervious surface extraction was developed and applied to two pan-sharpened multi-spectral IKONOS images covering the residential and central business district (CBD) areas of Indianapolis, Indiana, USA. Fuzzy rules based on spectral, spatial and texture attributes, were developed to extract impervious surfaces. An accuracy assessment was performed for the final maps. The results indicated that the spatial patterns of extracted features were in accordance with those in the original images and the boundaries of features were appropriately delineated. Impervious surfaces were extracted with an accuracy of 95% in the residential area and 92% in the CBD area. Road extraction achieved accuracy a bit lower, with 93% and 90% from the residential and CBD area, respectively. Buildings were extracted with an accuracy of 94% from the residential area while 89% from the CBD area. It is suggested that the CBD area had a higher spectral complexity, building displacement and the shadow problem, leading to a more difficult estimation and mapping of impervious surfaces. Numéro de notice : A2011-034 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.535616 Date de publication en ligne : 01/10/2010 En ligne : https://doi.org/10.1080/10106049.2010.535616 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30815
in Geocarto international > vol 26 n° 1 (February 2011) . - pp 3 - 20[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2011011 RAB Revue Centre de documentation En réserve L003 Disponible Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data / Peter Reinartz in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)
[article]
Titre : Orthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data Type de document : Article/Communication Auteurs : Peter Reinartz, Auteur ; R. Muller, Auteur ; P. Schwind, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 124 - 132 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] appariement d'images
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image ALOS-PRISM
[Termes IGN] image Ikonos
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image TerraSAR-X
[Termes IGN] méthode robuste
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation du capteur
[Termes IGN] orthorectification
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] zone urbaineRésumé : (Auteur) Orthorectification of satellite data is one of the most important pre-processing steps for application oriented evaluations and for image data input into Geographic Information Systems. Although high- and very high-resolution optical data can be rectified without ground control points (GCPs) using an underlying digital elevation model (DEM) to positional root mean square errors (RMSEs) between 3 m and several hundred meters (depending on the satellite), there is still need for ground control with higher precision to reach lower RMSE values for the orthoimages. The very high geometric accuracy of geocoded data of the TerraSAR-X satellite has been shown in several investigations. This is due to the fact that the SAR antenna measures distances which are mainly dependent on the terrain height and the position of the satellite. The latter can be measured with high precision, whereas the satellite attitude need not be known exactly. If the used DEM is of high accuracy, the resulting geocoded SAR data are very precise in their geolocation. This precision can be exploited to improve the orientation knowledge and thereby the geometric accuracy of the rectified optical satellite data. The challenge is to match two kinds of image data, which exhibit very different geometric and radiometric properties. Simple correlation techniques do not work and the goal is to develop a robust method which works even for urban areas, including radar shadows, layover and foreshortening effects. First the optical data have to be rectified with the available interior and exterior orientation data or using rational polynomial coefficients (RPCs). From this approximation, the technique used is the measurement of small identical areas in the optical and radar images by automatic image matching, using a newly developed adapted mutual information procedure followed by an estimation of correction terms for the exterior orientation or the RPC coefficients. The matching areas are selected randomly from a regular grid covering the whole imagery. By adjustment calculations, parameters from falsely matched areas can be eliminated and optimal improvement parameters are found. The original optical data are orthorectified again using the delivered metadata together with these corrections and the available DEM. As proof of method the orthorectified data from IKONOS and ALOS-PRISM sensors are compared with conventional ground control information from high-precision orthoimage maps of the German Cartographic Survey. The results show that this method is robust, even for urban areas. Although the resulting RMSE values are in the order of 2–6 m, the advantage is that this result can be reached even for optical sensors which do not exhibit low RMSE values without using manual GCP measurements. Numéro de notice : A2011-017 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2010.10.003 En ligne : https://doi.org/10.1016/j.isprsjprs.2010.10.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30799
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 1 (January - February 2011) . - pp 124 - 132[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011011 SL Revue Centre de documentation Revues en salle Disponible Epipolar arrangement of satellite imagery by projection trajectory simplification / M. Wang in Photogrammetric record, vol 25 n° 132 (December 2010 - February 2011)
[article]
Titre : Epipolar arrangement of satellite imagery by projection trajectory simplification Type de document : Article/Communication Auteurs : M. Wang, Auteur ; F. Hu, Auteur ; J. Li, Auteur Année de publication : 2010 Article en page(s) : pp 422 - 436 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] courbe épipolaire
[Termes IGN] image Ikonos
[Termes IGN] image IRS
[Termes IGN] image SPOT-HRG
[Termes IGN] linéarisation
[Termes IGN] lissage de courbe
[Termes IGN] méthode des moindres carrés
[Termes IGN] modèle stéréoscopique
[Termes IGN] orbitographie
[Termes IGN] parallaxe
[Termes IGN] trajectoire (véhicule non spatial)Résumé : (Auteur) This paper presents an efficient algorithm for approximate epipolar image generation from stereoscopic satellite images by projection trajectory simplification. In this algorithm, the original non-linear projection trajectory is simplified to a linear one by the least squares line fitting of sample points selected from the projection trajectory. The performance of the algorithm is evaluated using IRS-P5, SPOT5-HRG and IKONOS stereo-images acquired in different stereoscopic imaging modes over different terrain types. The results obtained indicate that the vertical parallax of each pair of conjugate image points on the epipolar images thus generated achieves accuracy at the sub-pixel level. Numéro de notice : A2010-534 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2010.00602.x Date de publication en ligne : 22/12/2010 En ligne : https://doi.org/10.1111/j.1477-9730.2010.00602.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30726
in Photogrammetric record > vol 25 n° 132 (December 2010 - February 2011) . - pp 422 - 436[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2010041 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of matching algorithms for DSM generation in urban areas from ikonos imagery / A. Alobeid in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)PermalinkAutomatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge / M. Bouziani in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)PermalinkMapping natural phenomena : boreal forest fires with non-discrete boundaries / T.K. Remmel in Cartographica, vol 44 n° 4 (December 2009)PermalinkNouvelles cartographies au 1:200 000 du Sénégal et au 1:5 000 en Polynésie Française : deux exemples de production opérationnelle de cartes topographiques numériques à partir d'imagerie satellitaire / Dominique Lasselin in Le monde des cartes, n° 202 (décembre 2009)PermalinkMultitemporal Satellite High resolution images for the knowledge and the monitoring of the Iraqi archaeological sites: The case of Seleucia on the Tigris / G. Scardozzi in Photo interprétation, European journal of applied remote sensing, vol 45 n° 4 (novembre 2009)PermalinkAutomated extraction of buildings from Ikonos imagery by integrating spectral and spatial information / X. Wang in Geomatica, vol 63 n° 3 (September 2009)PermalinkA high resolution orthomosaic in Brazil / N. Parada in Geoinformatics, vol 12 n° 5 (01/07/2009)PermalinkMapping urban road infrastructure using remotely sensed images / Taskin Kavzoglu in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)PermalinkMerging hyperspectral and panchromatic image data: qualitative and quantitative analysis / M. Cetin in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)PermalinkGeoreferencing accuracy assessment of High-Resolution satellite images using figure condition method / Hyseyin Topan in IEEE Transactions on geoscience and remote sensing, vol 47 n° 4 (April 2009)PermalinkUrban area and building detection using SIFT: Keypoints and Graph Theory / B. Simarcek in IEEE Transactions on geoscience and remote sensing, vol 47 n° 4 (April 2009)PermalinkUtilisation d'images satellites à haute résolution pour la gestion du territoire de la ville de Luanda (Angola) / Valerio Baiocchi in Géomatique expert, n° 67 (01/02/2009)PermalinkRemote sensing of soil salinization / G. Metternicht (2009)PermalinkUsing pixel and object based IKONOS image analysis for studying decay in silver fir stands / Ionut Barnoaiea in Annals of forest research, vol 52 n° 1 (January 2009)PermalinkAssessing geometric reliability of corrected images from very high resolution satellites / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkAutomated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model / H. Su in Marine geodesy, vol 31 n° 4 (December 2008)PermalinkUsing texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses / F. Aguera in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 6 (November - December 2008)PermalinkGeometric integration of aerial and high-resolution satellite imagery and application in shoreline mapping / R. Li in Marine geodesy, vol 31 n° 3 (September - November 2008)PermalinkHigh resolution elevation data derived from stereoscopic CORONA imagery ground control: an approach using IKONOS and SRTM data / Nikolaos Galiatsatos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkIntegration of Hyperion satellite data and a household social survey to caracterize the causes and consequences of reforestation patterns in the Northern Ecuadorian Amazon / S.J. Walsh in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)Permalink