Descripteur
Termes IGN > imagerie
imagerie
Commentaire :
Terme regroupant photographies et images issues de différents capteurs.
|
Documents disponibles dans cette catégorie (7809)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
Etendre la recherche sur niveau(x) vers le bas
Conception de modèles 3D précis pour un suivi 4D optimisé des ouvrages hydrauliques linéaires : intérêt et particularité du drone / Vincent Tournadre in La Houille Blanche, revue internationale de l'eau, vol 2016 n° 3 (juin 2016)
![]()
[article]
Titre : Conception de modèles 3D précis pour un suivi 4D optimisé des ouvrages hydrauliques linéaires : intérêt et particularité du drone Titre original : Accurate 3D models for a 4D monitoring of linear hydraulic structures: opportunities and characteristics of UAV Type de document : Article/Communication Auteurs : Vincent Tournadre , Auteur ; Jacques Beilin
, Auteur ; Marc Pierrot-Deseilligny
, Auteur ; Paul-Henri Faure, Auteur
Année de publication : 2016 Article en page(s) : pp 33 - 38 Note générale : bibliographie Langues : Français (fre) Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] auscultation d'ouvrage
[Termes IGN] code source libre
[Termes IGN] contrôle métrologique
[Termes IGN] digue
[Termes IGN] données spatiotemporelles
[Termes IGN] drone
[Termes IGN] image captée par drone
[Termes IGN] logiciel libre
[Termes IGN] métrologie géodésique
[Termes IGN] métrologie tridimensionnelle
[Termes IGN] modèle 3D du site
[Termes IGN] objet géographique linéaire
[Termes IGN] photogrammétrie aérienne
[Termes IGN] photogrammétrie métrologiqueRésumé : (auteur) Confronted with the ageing of its dikes and with the sometimes degraded conditions of access, the Compagnie Nationale du Rhône, the 2nd producer of hydro electricity in France, wishes to develop new systems of auscultation complementary to the sensors and visual inspections already deployed. The developments of drones, photographic sensors and algorithms of automatic calculations of 3D modelling from multi-stereoscopic images allow today to obtain the fine geometry of linear works via 3D models. At present, with a network of point to the dense ground, the reachable precision is of the order of 5 cm. In order to achieve the desired specifications (± 1 cm ± 3 cm) while minimizing the number of points on the ground, and thus the time field, CNR and the National Institute of Geographic and Forest Information (IGN) have established a partnership resulting in the completion of a research thesis on metrology by light airborne photogrammetry applied to the monitoring of developments dikes. The paper attempts to present the context of the project through the description of the current monitoring of embankments and of the new needs in auscultation of CNR. The following, based on a case study on the dike of the Palière is introducing advanced photogrammetric methods to mid 2015 to reach centimeter details with only 1 setting point ground for every 100 meters. Located at the interface of the world of Drones, of Research in photogrammetric algorithms and of concessionaires needs, the project will lead to the end of 2015 to an enhanced testing system allowing centimeter monitoring of sensitive embankments areas. The new photogrammetric algorithms written in an open source environment will be open to the entire scientific community and solved problems (high precision geo measures on linear structures) will be used by other distributors on other works with the same geometry. Numéro de notice : A2016--194 Affiliation des auteurs : ENSG+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.1051/lhb/2016028 Date de publication en ligne : 19/07/2016 En ligne : https://doi.org/10.1051/lhb/2016028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91848
in La Houille Blanche, revue internationale de l'eau > vol 2016 n° 3 (juin 2016) . - pp 33 - 38[article]Correction of atmospheric refraction geolocation error for high resolution optical satellite pushbroom images / Ming Yan in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 6 (June 2016)
![]()
[article]
Titre : Correction of atmospheric refraction geolocation error for high resolution optical satellite pushbroom images Type de document : Article/Communication Auteurs : Ming Yan, Auteur ; Chengyi Wang, Auteur ; Jianglin Ma, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 427 - 435 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] correction atmosphérique
[Termes IGN] erreur de positionnement
[Termes IGN] géoréférencement direct
[Termes IGN] image à haute résolution
[Termes IGN] image DMC-3
[Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] réfraction atmosphériqueRésumé : (Auteur) When an optical remote sensing satellite is imaging the Earth in-orbit, the propagation direction of the Line of Sight (LOS) will be changed because of atmospheric refraction. This will result in a geolocation deviation on the collinear rigorous geometric model for direct georeferencing, pushbroom images. To estimate and correct the atmospheric refraction geolocation error, the LOS vector tracking algorithm is introduced and a weighted mean algorithm is used to simplify the ISO standard atmospheric model into a troposphere and stratosphere, i.e., two layers spherical atmosphere. The simulation result shows the atmospheric refraction will introduce about 2 m and 7.5 m geometric displacement when the spacecraft is off-pointed view at 30 and 45 degree angle, respectively. For a state-of-the-art high resolution satellite, the atmospheric refraction displacement shall be corrected. The method has been practiced in the DMC3/TripleSat Constellation to remove the atmospheric refraction geolocation error without ground control points. Numéro de notice : A2016-441 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.6.427 En ligne : http://dx.doi.org/10.14358/PERS.82.6.427 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81346
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 6 (June 2016) . - pp 427 - 435[article]Improving sensor fusion : a parametric method for the geometric coalignment of airborne hyperspectral and lidar data / Maximilian Brell in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
![]()
[article]
Titre : Improving sensor fusion : a parametric method for the geometric coalignment of airborne hyperspectral and lidar data Type de document : Article/Communication Auteurs : Maximilian Brell, Auteur ; Christian Rogass, Auteur ; Karl Segl, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 3460 - 3474 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] alignement semi-dirigé
[Termes IGN] appariement géométrique
[Termes IGN] données lidar
[Termes IGN] image aérienne
[Termes IGN] image hyperspectrale
[Termes IGN] image multicapteur
[Termes IGN] points homologues
[Termes IGN] superposition d'images
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Synergistic applications based on integrated hyperspectral and lidar data are receiving a growing interest from the remote-sensing community. A prerequisite for the optimum sensor fusion of hyperspectral and lidar data is an accurate geometric coalignment. The simple unadjusted integration of lidar elevation and hyperspectral reflectance causes a substantial loss of information and does not exploit the full potential of both sensors. This paper presents a novel approach for the geometric coalignment of hyperspectral and lidar airborne data, based on their respective adopted return intensity information. The complete approach incorporates ray tracing and subpixel procedures in order to overcome grid inherent discretization. It aims at the correction of extrinsic and intrinsic (camera resectioning) parameters of the hyperspectral sensor. In additional to a tie-point-based coregistration, we introduce a ray-tracing-based back projection of the lidar intensities for area-based cost aggregation. The approach consists of three processing steps. First is a coarse automatic tie-point-based boresight alignment. The second step coregisters the hyperspectral data to the lidar intensities. Third is a parametric coalignment refinement with an area-based cost aggregation. This hybrid approach of combining tie-point features and area-based cost aggregation methods for the parametric coregistration of hyperspectral intensity values to their corresponding lidar intensities results in a root-mean-square error of 1/3 pixel. It indicates that a highly integrated and stringent combination of different coalignment methods leads to an improvement of the multisensor coregistration. Numéro de notice : A2016-855 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2518930 En ligne : https://doi.org/10.1109/TGRS.2016.2518930 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82994
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 6 (June 2016) . - pp 3460 - 3474[article]A manifold alignment approach for hyperspectral image visualization with natural color / Danping Liao in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
![]()
[article]
Titre : A manifold alignment approach for hyperspectral image visualization with natural color Type de document : Article/Communication Auteurs : Danping Liao, Auteur ; Yuntao Qian, Auteur ; Jun Zhou, Auteur ; Yuan Yan Tang, Auteur Année de publication : 2016 Article en page(s) : pp 3151 - 3162 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] alignement semi-dirigé
[Termes IGN] appariement de points
[Termes IGN] couleur (variable spectrale)
[Termes IGN] image à haute résolution
[Termes IGN] image en couleur
[Termes IGN] image hyperspectraleRésumé : (Auteur) The trichromatic visualization of hundreds of bands in a hyperspectral image (HSI) has been an active research topic. The visualized image shall convey as much information as possible from the original data and facilitate easy image interpretation. However, most existing methods display HSIs in false color, which contradicts with user experience and expectation. In this paper, we propose a new framework for visualizing an HSI with natural color by the fusion of an HSI and a high-resolution color image via manifold alignment. Manifold alignment projects several data sets to a shared embedding space where the matching points between them are pairwise aligned. The embedding space bridges the gap between the high-dimensional spectral space of the HSI and the RGB space of the color image, making it possible to transfer natural color and spatial information in the color image to the HSI. In this way, a visualized image with natural color distribution and fine spatial details can be generated. Another advantage of the proposed method is its flexible data setting for various scenarios. As our approach only needs to search a limited number of matching pixel pairs that present the same object, the HSI and the color image can be captured from the same or semantically similar sites. Moreover, the learned projection function from the hyperspectral data space to the RGB space can be directly applied to other HSIs acquired by the same sensor to achieve a quick overview. Our method is also able to visualize user-specified bands as natural color images, which is very helpful for users to scan bands of interest. Numéro de notice : A2016-849 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2512659 En ligne : http://dx.doi.org/10.1109/TGRS.2015.2512659 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82930
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 6 (June 2016) . - pp 3151 - 3162[article]
[article]
Titre : Des nouveaux moyens et des opportunités Type de document : Article/Communication Auteurs : Laurent Polidori, Auteur Année de publication : 2016 Article en page(s) : pp 32 - 41 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Photogrammétrie
[Termes IGN] acquisition de données
[Termes IGN] appariement d'images
[Termes IGN] drone
[Termes IGN] modélisation 3D
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] objet 3D
[Termes IGN] photographie aérienne
[Termes IGN] précision des données
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] semis de points
[Termes IGN] visualisation 3DRésumé : (Auteur) Technologie ringardisée par certains, la photogrammétrie fait un retour inattendu grâce à l'évolution des technologies d'acquisition de la donnée. Voir d'en haut et raisonner en 3D réhabilite cette technique plus simple que par le passé. Numéro de notice : A2016-368 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81134
in Géomètre > n° 2137 (juin 2016) . - pp 32 - 41[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 036-2016061 RAB Revue Centre de documentation En réserve L003 Disponible Optical remotely sensed time series data for land cover classification: A review / Cristina Gómez in ISPRS Journal of photogrammetry and remote sensing, vol 116 (June 2016)
PermalinkA simple method for detecting phenological change from time series of vegetation index / Jin Chen in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
PermalinkSource model from ALOS-2 ScanSAR of the 2015 Nepal earthquakes / Youtian Liu in Journal of applied geodesy, vol 10 n° 2 (June 2016)
PermalinkA spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery / Bei Zhao in ISPRS Journal of photogrammetry and remote sensing, vol 116 (June 2016)
PermalinkSupervised classification of very high resolution optical images using wavelet-based textural features / Olivier Regniers in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
PermalinkThermal infrared reveals vegetation stress / Thomas A. Groen in GIM international, vol 30 n° 6 (June 2016)
PermalinkToward a generalizable image representation for large-scale change detection : application to generic damage analysis / Lionel Gueguen in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
PermalinkVector attribute profiles for hyperspectral image classification / Erchan Aptoula in IEEE Transactions on geoscience and remote sensing, vol 54 n° 6 (June 2016)
PermalinkAutonomous ortho-rectification of very high resolution imagery using SIFT and genetic algorithm / Pramod Kumar Konugurthi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 5 (May 2016)
PermalinkEarth observation-based multi-scale impact assessment of internally displaced person (IDP) camps on wood resources in Zalingei, Darfur / Kristin Spröhnle in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
PermalinkEffect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data / Mritunjay Kumar Singh in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
PermalinkExploiting joint sparsity for pansharpening : the J-SparseFI algorithm / Xiao Xiang Zhu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)
PermalinkHigh-precision positioning of radar scatterers / Prabu Dheenathayalan in Journal of geodesy, vol 90 n° 5 (May 2016)
PermalinkL’imagerie satellitaire stéréoscopique très haute résolution spatiale Pléiades : apport pour les problématiques urbaines / Dominique Hébrard in Signature, n° 60 (mai 2016)
PermalinkInformation from imagery: ISPRS scientific vision and research agenda / Jun Chen in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
PermalinkPermalinkKernel-based domain-invariant feature selection in hyperspectral images for transfer learning / Claudio Persello in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)
PermalinkMapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data / Elisa Schäfer in Ecological indicators, vol 64 (May 2016)
PermalinkMonitoring of water stress in wheat using multispectral indices derived from Landsat-TM / Nitika Dangwal in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
PermalinkPipeline intergrity management from space : transmision pipeline monitoring using Copernicus / Jan Ridder in GIM international, vol 30 n° 5 (May 2016)
PermalinkRemote sensing of alpine glaciers in visible and infrared wavelengths: a survey of advances and prospects / Anshuman Bhardwaj in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
PermalinkRemote sensing technologies for enhancing forest inventories: A review / Joanne C. White in Canadian journal of remote sensing, vol 42 n° 5 ([01/05/2016])
Permalinkvol 115 - May 2016 - State-of-the-art in photogrammetry, remote sensing and spatial information science (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Christian Heipke
PermalinkStorm event representation and analysis based on a directed spatiotemporal graph model / W. Liu in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)
PermalinkSupporting polio eradication with Pléiades satellite imagery : reaching every household in Nigeria / Frédérique Coumans in GIM international, vol 30 n° 5 (May 2016)
PermalinkPermalinkUnsupervised multitemporal spectral unmixing for detecting multiple changes in hyperspectral images / Sicong Liu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)
PermalinkChange detection between SAR images using a pointwise approach and graph theory / Minh-Tan Pham in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)
PermalinkCombined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery / Taoyang Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)
PermalinkEstimating forest and woodland aboveground biomass using active and passive remote sensing / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)
PermalinkForest above ground biomass inversion by fusing GLAS with optical remote sensing data / Xiaohuan Xi in ISPRS International journal of geo-information, vol 5 n° 4 (April 2016)
PermalinkInterferometric processing of Sentinel-1 TOPS Data / Néstor Yagüe-Martínez in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)
PermalinkA meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data / Gherardo Chirici in Remote sensing of environment, vol 176 (April 2016)
PermalinkA synchronization algorithm for spaceborne/stationary BiSAR imaging based on contrast optimization with direct signal from radar satellite / M. Zhang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)
PermalinkAutomatic detection and reconstruction of 2-D/3-D building shapes from spaceborne TomoSAR point clouds / Muhammad Shahzad in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
PermalinkComparative analysis on utilisation of linear spectral unmixing and band ratio methods for processing ASTER data to delineate bauxite over a part of Chotonagpur plateau, Jharkhand, India / Arindam Guha in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)
PermalinkComparative study on projected clustering methods for hyperspectral imagery classification / Anand Mehta in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)
PermalinkComparison of three Landsat TM compositing methods: A case study using modeled tree canopy cover / Bonnie Ruefenacht in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 3 (March 2016)
PermalinkData fusion technique using wavelet transform and Taguchi methods for automatic landslide detection from airborne laser scanning data and QuickBird satellite imagery / Biswajeet Pradhan in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
PermalinkA feature selection approach for segmentation of very high-resolution satellite images / Ahmad Izadipour in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 3 (March 2016)
PermalinkMapping urban growth of the capital city of Honduras from Landsat data using the impervious surface fraction algorithm / Nguyen-Thanh Son in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)
PermalinkNoise simulation and correction in synthetic airborne TIR Data for mineral quantification / Christoph Hecker in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
PermalinkA penalized spline-based attitude model for high-resolution satellite imagery / Hongbo Pan in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
PermalinkQuantitative quality evaluation of pansharpened imagery: consistency versus synthesis / Frosti Palsson in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
PermalinkA robust digital watermarking algorithm for copyright protection of aerial photogrammetric images / Pai-Hui Hsu in Photogrammetric record, vol 31 n° 153 (March - May 2016)
Permalink