Descripteur
Termes IGN > imagerie > image numérique
image numériqueSynonyme(s)image en mode mailléVoir aussi |
Documents disponibles dans cette catégorie (2121)
![](./images/expand_all.gif)
![](./images/collapse_all.gif)
Etendre la recherche sur niveau(x) vers le bas
Efficient parallel algorithm for pixel classification in remote sensing imagery / U. Maulik in Geoinformatica, vol 16 n° 2 (April 2012)
![]()
[article]
Titre : Efficient parallel algorithm for pixel classification in remote sensing imagery Type de document : Article/Communication Auteurs : U. Maulik, Auteur ; A. Sarkar, Auteur Année de publication : 2012 Article en page(s) : pp 391 - 407 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] image IRS
[Termes IGN] image SPOT
[Termes IGN] pixel
[Termes IGN] traitement parallèleRésumé : (Auteur) An important approach for image classification is the clustering of pixels in the spectral domain. Fast detection of different land cover regions or clusters of arbitrarily varying shapes and sizes in satellite images presents a challenging task. In this article, an efficient scalable parallel clustering technique of multi-spectral remote sensing imagery using a recently developed point symmetry-based distance norm is proposed. The proposed distributed computing time efficient point symmetry based K-Means technique is able to correctly identify presence of overlapping clusters of any arbitrary shape and size, whether they are intra-symmetrical or inter-symmetrical in nature. A Kd-tree based approximate nearest neighbor searching technique is used as a speedup strategy for computing the point symmetry based distance. Superiority of this new parallel implementation with the novel two-phase speedup strategy over existing parallel K-Means clustering algorithm, is demonstrated both quantitatively and in computing time, on two SPOT and Indian Remote Sensing satellite images, as even K-Means algorithm fails to detect the symmetry in clusters. Different land cover regions, classified by the algorithms for both images, are also compared with the available ground truth information. The statistical analysis is also performed to establish its significance to classify both satellite images and numeric remote sensing data sets, described in terms of feature vectors. Numéro de notice : A2012-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-011-0136-5 Date de publication en ligne : 06/09/2011 En ligne : https://doi.org/10.1007/s10707-011-0136-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31542
in Geoinformatica > vol 16 n° 2 (April 2012) . - pp 391 - 407[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Robust hyperspectral vision-based classification for multi-season weed mapping / Y. Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)
![]()
[article]
Titre : Robust hyperspectral vision-based classification for multi-season weed mapping Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; D. Slaughter, Auteur ; E. Staab, Auteur Année de publication : 2012 Article en page(s) : pp 65 - 73 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage automatique
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] classification bayesienne
[Termes IGN] cultures
[Termes IGN] herbe
[Termes IGN] identification de plantes
[Termes IGN] image hyperspectrale
[Termes IGN] photogrammétrie métrologique
[Termes IGN] réflectance végétale
[Termes IGN] système expert
[Termes IGN] variation saisonnièreRésumé : (Auteur) This study investigated the robustness of hyperspectral image-based plant recognition to seasonal variability in a natural farming environment in the context of automated in-row weed control. A machine vision system was developed and equipped with a CCD camera integrated with a line-imaging spectrograph for close-range weed sensing and mapping. Three canonical Bayesian classifiers were developed using canopy reflectance (400–795 nm) collected over three seasons for tomato and weeds. The performance of the three season-specific classifiers was tested by changing environmental conditions, resulting in an increase in total error rate of up to 36%. Global calibration across the complete span of the three seasons produced overall classification accuracies of 85.0%, 90.0% and 92.7%, respectively, for 2005, 2006 and 2008. To improve the stability of global classifier over multiple seasons, a multiclassifier system was constructed with three canonical Bayesian classifiers optimized for the three seasons individually. This system was tested on a data set simulating an upcoming season with field conditions similar to that in 2005. The system increased the total discrimination accuracy to 95.8% for the tested season under simulation. This method provided an innovative direction for achieving robust plant recognition over multiple seasons by integrating expert knowledge from historical data that most closely matched the new field environment. Numéro de notice : A2012-194 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.02.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.02.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31641
in ISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 65 - 73[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2012031 SL Revue Centre de documentation Revues en salle Disponible Détection et localisation 3D de panneaux de signalisation [diaporama] / Bahman Soheilian (08/03/2012)
![]()
Titre : Détection et localisation 3D de panneaux de signalisation [diaporama] Type de document : Article/Communication Auteurs : Bahman Soheilian , Auteur
Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 08/03/2012 Conférence : Journées Recherche de l’IGN 2012, 21es Journées 08/03/2012 09/03/2012 Saint-Mandé France programme Importance : 38 p. Format : 30 x 21 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement de formes
[Termes IGN] détection d'objet
[Termes IGN] détection de contours
[Termes IGN] image en couleur
[Termes IGN] reconstruction 3D
[Termes IGN] signalisation routièreRésumé : (Documentaliste) L'objet de la présentation est la mise en œuvre d'un processus complet d'extraction et de reconstruction 3D de panneaux rectangulaires et triangulaires, avec une précision 3D de l'ordre de 3 cm. Numéro de notice : C2012-019 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64345 Documents numériques
peut être téléchargé
Diaporama_jr2012_matis_bsoheilian.pdfAdobe Acrobat PDFClose range stereophotogrammetry and video imagery analyses in soil ecohydrology modelling / Maria J. Rossi in Photogrammetric record, vol 27 n° 137 (March - May 2012)
![]()
[article]
Titre : Close range stereophotogrammetry and video imagery analyses in soil ecohydrology modelling Type de document : Article/Communication Auteurs : Maria J. Rossi, Auteur ; Jorge O. Ares, Auteur Année de publication : 2012 Article en page(s) : pp 111 - 126 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie terrestre
[Termes IGN] écoulement des eaux
[Termes IGN] environnement
[Termes IGN] hydrologie
[Termes IGN] image vidéo
[Termes IGN] microtopographie
[Termes IGN] photogrammétrie métrologique
[Termes IGN] ruissellement
[Termes IGN] stéréophotogrammétrie
[Termes IGN] zone humideRésumé : (Auteur) Ecohydrology is an emerging discipline in the environmental sciences. Soil micro-relief is of relevance to various ecohydrological processes such as rainwater redistribution, seed displacement through water runoff, water erosion and plant competition for water. Mechanical-optical methods to characterise the soil surface and its incidence in these processes are time consuming and can produce modifications of soil relief. This research explores a methodology combining non-contact techniques (close range stereophotogrammetry and geostatistical modelling) for microtopographic description with video imagery analysis to formulate quantitative determination of surface water movement and infiltration in undisturbed field plots. The numerical quality of the results obtained was tested with ad hoc laboratory models representing various elementary landforms (basin, hill and ridge), as well as with infiltration runoff experiments in undisturbed field plots. The requirements to define a minimum set of properly oriented digital images to attain target precision thresholds in modelling soil microtopography for ecohydrological applications are shown as well as the conditions and experimental arrangement to obtain adequate video imagery of water movement on the soil surface. The use of geostatistical algorithms to analyse ecohydrological processes occurring at the soil surface is illustrated with results obtained from field plots. The methodology presented serves to characterise and quantify water-related ecological processes occurring at the soil surface while preserving undisturbed soil conditions. Potential applications are in ecohydrology, soil erosion science and environmental material transport studies. Numéro de notice : A2012-132 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00672.x En ligne : https://doi.org/10.1111/j.1477-9730.2012.00672.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31580
in Photogrammetric record > vol 27 n° 137 (March - May 2012) . - pp 111 - 126[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 106-2012011 RAB Revue Centre de documentation En réserve L003 Disponible Development of a network-based method for unmixing of hyperspectral data / V. Karathanassi in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)
![]()
[article]
Titre : Development of a network-based method for unmixing of hyperspectral data Type de document : Article/Communication Auteurs : V. Karathanassi, Auteur ; D. Sykas, Auteur ; Konstantinos Topouzelis, Auteur Année de publication : 2012 Article en page(s) : pp 839 - 849 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] distance euclidienne
[Termes IGN] image hyperspectraleRésumé : (Auteur) This paper presents a new nonlinear unmixing method. Based on relative distances which imply nonlinearity, the method introduces the “fractional distance” as a key variable that quantifies interactions between pixels and endmembers. Relationships between fractional distances and abundance fractions are built through networks. Because an equal spectral mixture of ground spectral classes present on the surface sensed is likely impossible, the proposed method, due to its mathematical concept, reveals unknown endmembers. Three versions of the method have been developed: the nonconstrained, the sum-to-one, and the fully constrained versions. Evaluation of the method using synthetic and real data showed that the method is robust with clear and interpretable results and provides reliable abundance fractions, particularly the sum-to-one and the fully constrained versions of the method. The new unmixing method has also been compared with the fully constrained least squares method. Numéro de notice : A2012-099 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2163412 Date de publication en ligne : 15/09/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2163412 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31547
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 3 (March 2012) . - pp 839 - 849[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-2012031 RAB Revue Centre de documentation En réserve L003 Disponible Exposure estimation from multi-resolution optical satellite imagery for seismic risk assessment / Marc Wieland in ISPRS International journal of geo-information, vol 1 n°1 (March 2012)
PermalinkHyperspectral unmixing based on mixtures of Dirichlet components / J. Nascimento in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)
PermalinkRelative radiometric correction of multi-temporal ALOS AVNIR-2 data for the estimation of forest attributes / Q. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)
PermalinkRoad network extraction in suburban areas / A. Grote in Photogrammetric record, vol 27 n° 137 (March - May 2012)
PermalinkAn edge-oriented approach to thematic map error assessment / S. Sweeney in Geocarto international, vol 27 n° 1 (February 2012)
PermalinkCoupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion / N. Yokoya in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkA simple and robust feature point matching algorithm based on restricted spatial order constraints for aerial image registration / Z. Liu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 2 (February 2012)
PermalinkAutomatic cloud detection from multi-temporal satellite images: towards the use of Pléiades time series / Nicolas Champion (2012)
PermalinkCartographie du déboisement à partir de données à haute résolution spatiale / Yannick Philippets (2012)
PermalinkCorrection du flou de mouvement sur les images prises de nuit par le STEREOPOLIS / Vincent Daval (2012)
PermalinkDétection et identification de zones de végétation arborée: utilisation conjointe d'images satellite RapidEye et de données BDOrtho / François Tassin (2012)
PermalinkA genetic fuzzy-rule-based classifier for land cover classification from hyperspectral imagery / Dimitris G. Stavrakoudis in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkPermalinkJoint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring / E. Lehmann in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkMeasuring the impact of 3D data geometric modeling on spatial analysis : illustration with Skyview factor / Mickaël Brasebin (2012)
PermalinkPermalinkThe unmixing of atmospheric trace gases from hyperspectral satellite data / P. Addabbo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
PermalinkTraitements numériques des images de télédétection, Vol. 1. Notions de base sur les couleurs / Olivier de Joinville (2012)
PermalinkPermalinkA web-based 3D mapping application using WebGL allowing interaction with images, point clouds and models / Alexandre Devaux (2012)
PermalinkReview of geometric and radiometric analyses of paintings / Fabio Remondino in Photogrammetric record, vol 26 n° 136 (December 2011 - February 2012)
PermalinkUne approche parallèle d'évaluation des paramètres de texture pour l'analyse d'images de grande taille / N. Talla Tankam in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)
PermalinkCartographie des linéaments et lithologique dans le secteur de Sebt Brikyne (jonction Doukkala-Rehamna, Maroc) par l'utilisation de l'imagerie satellitaire optique et radar / K. Labassi in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)
PermalinkClassification orientée-objet supervisée d'une forêt avec une sélection guidée d'attributs personnalisés / Olivier de Joinville in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)
PermalinkIntercomparison and validation of techniques for spectral unmixing of hyperspectral images : a planetary case study / X. Ceamanos in IEEE Transactions on geoscience and remote sensing, vol 49 n° 11 Tome 1 (November 2011)
PermalinkPixel unmixing in hyperspectral data by means of neural networks / Giorgio Licciardi in IEEE Transactions on geoscience and remote sensing, vol 49 n° 11 Tome 1 (November 2011)
PermalinkSVM-based unmixing-to-classification conversion for hyperspectral abundance quantification / F. Mianji in IEEE Transactions on geoscience and remote sensing, vol 49 n° 11 Tome 1 (November 2011)
PermalinkValidation of GOCE gravity field models by means of orbit residuals and geoid comparisons / Thomas Gruber in Journal of geodesy, vol 85 n° 11 (November /2011)
PermalinkDamage assessment of 2010 Haïti earthquake with post-earthquake satellite image by support vector selection and adaptation / Gülsen Taskin Kaya in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 10 (October 2011)
PermalinkA model-driven approach to estimate atmospheric visibility with ordinary cameras / Raouf Babari in Atmospheric Environment, vol 45 n° 30 (September 2011)
PermalinkPrediction of the error induced by topography in satellite microwave radiometric observations / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkSimultaneous denoising and intrinsic order selection in hyperspectral imaging / M. Farzam in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)
PermalinkLa carte forestière version 2 à l'IFN : de la réalisation à la diffusion / Thierry Touzet in Rendez-vous techniques, n° 32 (printemps 2011)
PermalinkIn situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system / Amr Abd-Elrahman in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 4 (July - August 2011)
PermalinkA multispectral and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery / X. Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)
PermalinkHierarchical segmentation-based software for cover classification analyses of seabed images (Seascape) / Nuria Teixido in Marine Ecology Progress Series, MEPS, n° 431 ([09/06/2011])
![]()
PermalinkPartage de données environnementales pour la découverte et l’observation de la Terre / Nehla Ghouaiel (08/06/2011)
PermalinkEvolutions récentes en photogrammétrie et modélisation 3D par photo des milieux naturels / Marc Pierrot-Deseilligny in Collection EDYTEM. cahiers de géographie, n° 12 (01/06/2011)
PermalinkIntegration of panoramic hyperspectral imaging with terrestrial lidar data / T. Kurz in Photogrammetric record, vol 26 n° 134 (June - August 2011)
PermalinkReal-time object detection with sub-pixel accuracy using the level set method / F. Burkert in Photogrammetric record, vol 26 n° 134 (June - August 2011)
PermalinkThe application of ASTER imageries and mathematical evaluation method in detecting cyanobacteria in biological soil crust, Chadormalu area, Central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 2011)
PermalinkDétection de bateaux dans les images satellitaires optiques panchromatiques / N. Proia in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)
PermalinkEstimation de la réflectance de matériaux d'une scène urbaine : modélisation et méthode d'inversion / Fabien Coubard in Revue Française de Photogrammétrie et de Télédétection, n° 194 (Mai 2011)
PermalinkA new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform / J. Saeedi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
PermalinkUsing horizontal and vertical building structure to constrain indirect sensor orientation / Markus Gerke in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)
Permalink