Descripteur
Termes IGN > imagerie > image spatiale > image satellite > image à basse résolution
image à basse résolutionVoir aussi |
Documents disponibles dans cette catégorie (46)
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
Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data / Kun Jia in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)
[article]
Titre : Land cover classification of finer resolution remote sensing data integrating temporal features from time series coarser resolution data Type de document : Article/Communication Auteurs : Kun Jia, Auteur ; Shunlin Liang, Auteur ; Ning Zhang, Auteur ; Xiangqin Wei, Auteur ; Xingfa Gu, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 49 - 55 Langues : Anglais (eng) Descripteur : [Termes IGN] changement d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] fusion de données
[Termes IGN] image à basse résolution
[Termes IGN] occupation du sol
[Termes IGN] précision des données
[Termes IGN] représentation du temps
[Termes IGN] série temporelleRésumé : (Auteur) Land cover classification of finer resolution remote sensing data is always difficult to acquire high-frequency time series data which contains temporal features for improving classification accuracy. This paper proposed a method of land cover classification with finer resolution remote sensing data integrating temporal features extracted from time series coarser resolution data. The coarser resolution vegetation index data is first fused with finer resolution data to obtain time series finer resolution data. Temporal features are extracted from the fused data and added to improve classification accuracy. The result indicates that temporal features extracted from coarser resolution data have significant effect on improving classification accuracy of finer resolution data, especially for vegetation types. The overall classification accuracy is significantly improved approximately 4% from 90.4% to 94.6% and 89.0% to 93.7% for using Landsat 8 and Landsat 5 data, respectively. The user and producer accuracies for all land cover types have been improved. Numéro de notice : A2014-328 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73677
in ISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 49 - 55[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014071 RAB Revue Centre de documentation En réserve L003 Disponible Using thermal time and pixel purity for enhancing biophysical variable time series: An interproduct comparison / Grégory Duveiller in IEEE Transactions on geoscience and remote sensing, vol 51 n° 4 Tome 1 (April 2013)
[article]
Titre : Using thermal time and pixel purity for enhancing biophysical variable time series: An interproduct comparison Type de document : Article/Communication Auteurs : Grégory Duveiller, Auteur ; Frédéric Baret, Auteur ; Pierre Defourny, Auteur Année de publication : 2013 Article en page(s) : pp 2119 - 2127 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] blé (céréale)
[Termes IGN] cohérence des données
[Termes IGN] image à basse résolution
[Termes IGN] image Terra-MODIS
[Termes IGN] intensité lumineuse
[Termes IGN] Leaf Area Index
[Termes IGN] série temporelle
[Termes IGN] surveillance de la végétationRésumé : (Auteur) This paper presents a multiannual comparison at regional scale of currently available 1-km global leaf area index (LAI) products with crop-specific green area index (GAI) retrieved from 250-m spatial resolution imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS). The crop-specific GAI product benefits from the following extra processing steps: 1) spatial filtering of time series based on pixel purity; 2) transforming the time scale to thermal time; and 3) fitting a canopy structural dynamic model to smooth out the signal. In order to perform a rigorous comparison, these steps were also applied to the 1-km LAI products, namely, MODIS LAI (MCD15) and LAI produced in the CYCLOPES (Carbon cYcle and Change in Land Observational Products from an Ensemble of Satellites) project. A simple indicator was also designed to quantify the increase in temporal smoothness that can thus be obtained. The results confirm that, for winter wheat, the 250-m GAI product provides a more realistic description of the time course of the biophysical variable in terms of reaching higher values, grasping the variability, and providing smoother time series. However, the use of thermal time and pixel purity also improves the temporal consistency and coherence of the 1-km products. Overall, the results of this study suggest that these techniques could be valuable in harmonizing remote sensing data coming from different sources with varying spatial and temporal resolution for enhanced vegetation monitoring. Numéro de notice : A2013-215 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2226731 En ligne : https://doi.org/10.1109/TGRS.2012.2226731 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32353
in IEEE Transactions on geoscience and remote sensing > vol 51 n° 4 Tome 1 (April 2013) . - pp 2119 - 2127[article]Semi-automatic quality control of topographic data sets / Petra Helmholz in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)
[article]
Titre : Semi-automatic quality control of topographic data sets Type de document : Article/Communication Auteurs : Petra Helmholz, Auteur ; C. Becker, Auteur ; U. Breitkopf, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 959 - 972 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] analyse d'image numérique
[Termes IGN] base de données topographiques
[Termes IGN] contrôle qualité
[Termes IGN] données topographiques
[Termes IGN] image à basse résolution
[Termes IGN] image à haute résolution
[Termes IGN] image aérienne
[Termes IGN] jeu de données localisées
[Termes IGN] réseau sémantiqueRésumé : (Auteur) The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semi-automatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results. Numéro de notice : A2012-443 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.14358/PERS.78.9.959 En ligne : https://doi.org/10.14358/PERS.78.9.959 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31889
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 959 - 972[article]Automatic classification of building types in 3D city models: Using SVMs for semantic enrichment of low resolution building data / A. Henn in Geoinformatica, vol 16 n° 2 (April 2012)
[article]
Titre : Automatic classification of building types in 3D city models: Using SVMs for semantic enrichment of low resolution building data Type de document : Article/Communication Auteurs : A. Henn, Auteur ; C. Römer, Auteur ; G. Groger, Auteur ; L. Plumer, Auteur Année de publication : 2012 Article en page(s) : pp 281 - 306 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] apprentissage automatique
[Termes IGN] attribut sémantique
[Termes IGN] bati
[Termes IGN] classification automatique
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image à basse résolution
[Termes IGN] modèle 3D de l'espace urbainRésumé : (Auteur) This article presents a classifier based on Support Vector Machines (SVMs), an advanced machine learning method for semantic enrichment of coarse 3D city models by deriving the building type. The information on the building type (detached building, terraced building, etc.) is essential for a variety of relevant applications of 3D city models like spatial marketing, real estate management and marketing, and for visualization. The derivation of the building type from coarse data (mainly 2D footprints, building heights and functions) seems impossible at first sight. However it succeeds by incorporating the spatial context of a building. Since the input data can be derived easily and at very low cost, this method is widely applicable. Nevertheless, as with all supervised learning algorithms, obtaining labelled training data is very time-consuming. Herewith, we provide a method which uses outlier detection and clustering methods to support users in efficiently and rapidly obtaining adequate training data. Numéro de notice : A2012-089 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-011-0131-x Date de publication en ligne : 07/07/2011 En ligne : https://doi.org/10.1007/s10707-011-0131-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31537
in Geoinformatica > vol 16 n° 2 (April 2012) . - pp 281 - 306[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 057-2012021 RAB Revue Centre de documentation En réserve L003 Disponible A 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)
[article]
Titre : A new pan-sharpening method using multiobjective particle swarm optimization and the shiftable contourlet transform Type de document : Article/Communication Auteurs : J. Saeedi, Auteur ; K. Faez, Auteur Année de publication : 2011 Article en page(s) : pp 365 - 381 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection de contours
[Termes IGN] histogramme
[Termes IGN] image à basse résolution
[Termes IGN] image à moyenne résolution
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] image Quickbird
[Termes IGN] image Worldview
[Termes IGN] optimisation (mathématiques)
[Termes IGN] pansharpening (fusion d'images)Résumé : (Auteur) In this paper, a novel approach based on multiobjective particle swarm optimization (MOPSO) is presented for panchromatic (Pan) sharpening of a multispectral (MS) image. This new method could transfer spatial details of the pan image into a high-resolution version of the MS image, while color information from the low-resolution MS image is well preserved. The pan and MS images are locally different because of different resolutions, and therefore we cannot directly combine them in the spatial domain. For this reason, we generate two initial results, which are more appropriate for a weighted combination. First, the pan and the MS images are histogram matched. Then we use the shiftable contourlet transform (SCT) to decompose the histogram-matched pan and MS images. The SCT is a new shiftable and modified version of the contourlet transform. In this step, an algorithm based on the SCT is used to generate two initial results of the high-resolution MS images. Our objective is to produce two modified high-resolution MS images, in which one has high spatial similarity to the pan image and the other one has high radiometric quality in each band. Therefore, we have used two different fusion rules to integrate the high-frequency contourlet coefficients of the pan and MS images to generate two initial results of high-resolution MS image or the pan-sharpened (PS) image. Finally, we can find the optimal PS image by applying the MOPSO algorithm and using the two initial PS results. Specifically, the PS image is obtained via a weighted combination of the two initial results, in which the weights are locally estimated via a multiobjective particle swarm optimization algorithm to generate a PS image with high spatial and radiometric qualities. Based on experimental results obtained, the produced pan-sharpened image also has good spectral quality. The efficiency of the proposed method is tested by performing pan-sharpening of high-resolution (Quickbird and Wordview2) and medium-resolution (Landsat-7 ETM +) datasets. Extensive comparisons with the state-of-the-art pan-sharpening algorithms indicate that our new method provides improved subjective and objective results. Numéro de notice : A2011-117 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.01.006 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30897
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 3 (May - June 2011) . - pp 365 - 381[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 081-2011031 SL Revue Centre de documentation Revues en salle Disponible La télédétection et son application à l'étude de la végétation : quelques principes / Anne Jolly in Rendez-vous techniques, n° 31 (hiver 2011)PermalinkL'Afrique prépare son GMES / Françoise de Blomac in SIG la lettre, n° 122 (décembre 2010)PermalinkAmélioration de la carte d'occupation du sol par la fusion d'images satellitaires multi-échelle : Application au milieu urbain et périurbain de la région / R. Khedam in Revue internationale de géomatique, vol 19 n° 1 (mars – mai 2009)PermalinkOptimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkEffects of spatial resolution ratio in image fusion / Y. Ling in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)PermalinkAn integrated method for satellite image interpolation / Wei Shi in International Journal of Remote Sensing IJRS, vol 28 n°5-6 (March 2007)PermalinkTowards 3D map generation from digital aerial images / L. Zebelin in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 6 (September 2006)PermalinkQuantifying spatial heterogeneity at the landscape scale using variogram models / S. Garrigues in Remote sensing of environment, vol 103 n° 1 (15 July 2006)PermalinkEnhancing a sequence of facial images combining multiple undersampled and compressed images / G. Scarmana in Photogrammetric record, vol 21 n° 114 (June - August 2006)PermalinkA comparative analysis of image fusion methods / Z. Wang in IEEE Transactions on geoscience and remote sensing, vol 43 n° 6 (June 2005)Permalink