Descripteur
Termes IGN > imagerie > image numérique > géométrie de l'image > limite de résolution géométrique
limite de résolution géométriqueVoir aussi |
Documents disponibles dans cette catégorie (96)
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
The Pleiades-HR mosaic system product / Françoise de Lussy in Revue Française de Photogrammétrie et de Télédétection, n° 184 (Décembre 2006)
[article]
contenu dans ISPRS Commission 1 Symposium 2006, Paris, Marne-la-Vallée, 3-6 Juillet 2006: Des capteurs à l'imagerie, 2. Tome 2 / Alain Baudoin (2006)
Titre : The Pleiades-HR mosaic system product Type de document : Article/Communication Auteurs : Françoise de Lussy, Auteur ; Patrick Gigord, Auteur ; Sylvain Airault , Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 70 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] image à résolution submétrique
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image Pléiades-HR
[Termes IGN] limite de résolution géométrique
[Termes IGN] mosaïquage d'images
[Termes IGN] orthoimage
[Termes IGN] orthophotoplan numérique
[Termes IGN] Pleiades-HR
[Termes IGN] satellite agile
[Termes IGN] valeur radiométriqueRésumé : (Auteur) Pleiades is the highest resolution civilian earth observing system ever developed in Europe. This imagery program is conducted by the French National Space Agency, CNES. It will operate in 2009-2010 two agile satellites designed to provide optical images to civilian and defense users. Images will be simultaneously acquired in Panchromatic (PA) and multispectral (XS) mode, which allows, in Nadir acquisition condition, to deliver 20 km wide, false or natural colored scenes with a 70 cm ground sampling distance after PA+XS fusion. Imaging capabilities have been highly optimized in order to acquire along-track stereo pairs and triplets, multi-targets and mosaics. The automatic orthomosaic product is the most ambitious innovation of the PHR ground image processing. Starting from an overview of the system characteristics enabling acquisition suitable for mosaic, this paper presents the geometric, radiometric and topological issues of the automatic ortho-mosaic and then focuses on the processing flow. It details the different steps: strategy, bundle adjustment, DEM refining, radiometric adjustment, seam line computation, a helped and quick image quality check and finally mosaic rectification. The process capabilities are illustrated with different sensor images. And finally the ortho-mosaic product content is described. Copyright SFPT Numéro de notice : A2006-639 Affiliation des auteurs : IGN+Ext (1940-2011) Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/T02-09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28362
in Revue Française de Photogrammétrie et de Télédétection > n° 184 (Décembre 2006) . - pp 70 - 75[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 018-06041 RAB Revue Centre de documentation En réserve L003 Disponible Documents numériques
en open access
The Pleiades-HR mosaic... - pdf editeur ISPRSAdobe Acrobat PDF Evaluation of the horizontal resolution of SRTM elevation data / L. Pierce in Photogrammetric Engineering & Remote Sensing, PERS, vol 72 n° 11 (November 2006)
[article]
Titre : Evaluation of the horizontal resolution of SRTM elevation data Type de document : Article/Communication Auteurs : L. Pierce, Auteur ; J. Kelindorf, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 1235 - 1244 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] lever topographique
[Termes IGN] limite de résolution géométrique
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] précision géométrique (imagerie)
[Termes IGN] qualité géométrique (image)
[Termes IGN] raisonnement inductifRésumé : (Auteur) The SRTM dataset is available at the USGS seamless website with one arc-second pixel spacing for the U.S. Recently, the value for horizontal resolution has been questioned. One paper (Smith and Sandwell, 2003) suggests that 60 meters may be more accurate, implying that the resolution is twice the provided spacing. For users of this data, the horizontal resolution is very important for their analyses. Hence, this paper addresses this important question by using two different approaches: coherence spectra and step-response. The coherence spectra approach uses statistical techniques to compare the SRTM dataset against a more accurate one, while the step response approach uses the observed step response in many areas of the dataset to estimate the width of the averaging function used to produce the SRTM data. Results from this study show that the resolution is between 1 and 1.6 pixels, depending on the local variability of the elevation data; with higher resolution near sharp edges and corners, and lower resolution in smoother areas. Copyright ASPRS Numéro de notice : A2006-492 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.72.11.1235 En ligne : https://doi.org/10.14358/PERS.72.11.1235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28216
in Photogrammetric Engineering & Remote Sensing, PERS > vol 72 n° 11 (November 2006) . - pp 1235 - 1244[article]Resolution dependent errors in remote sensing of cultivated areas / M. Ozdogan in Remote sensing of environment, vol 103 n° 2 (30/07/2006)
[article]
Titre : Resolution dependent errors in remote sensing of cultivated areas Type de document : Article/Communication Auteurs : M. Ozdogan, Auteur ; Curtis E. Woodcock, Auteur Année de publication : 2006 Article en page(s) : pp 203 - 217 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse de sensibilité
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] Chine
[Termes IGN] cultures
[Termes IGN] distribution spatiale
[Termes IGN] erreur de classification
[Termes IGN] image Ikonos
[Termes IGN] limite de résolution géométrique
[Termes IGN] précision infrapixellaire
[Termes IGN] seuillage d'image
[Termes IGN] surface cultivée
[Termes IGN] variogrammeRésumé : (Auteur) Remote sensing has become a common and effective method for estimating the areal coverage of land cover classes. One class of particular interest is agriculture as area estimates of cultivated lands are important for purposes such as estimating yields or irrigation needs. The synoptic coverage of satellite imagery and the relative ease of automated analysis have led to widespread mapping of agriculture using remote sensing. The accuracy of area estimates derived from these maps is known to be related to the accuracy of the maps. However, even in the situation where the map is very accurate, errors in area estimates may occur. These errors result from the behavior of the distribution of subpixel proportions of cultivated areas, and how that behavior changes as a result of sensor spatial resolution and class definitions. The sensitivity of estimates of cultivated areas to sensor spatial resolution and to the choice of threshold used to define cultivated land is explored in six agriculturally distinct locations around the world. Using a beta model for the distribution of subpixel proportions that is parameterized using variograms, it is possible to model the distribution of subpixel proportions for any spatial resolution. When the spatial resolution is small with respect to the spatial structure of the landscape (as measured by the variogram range) use of any class definition threshold produces an estimate very close to the true area coverage. On the other hand, as the resolution becomes coarse in relation to the variogram range, the subpixel proportions are no longer concentrated at the extremes of the distribution and the difference between the estimated and the true area has greater sensitivity to the selected threshold used to define classes. Thus, for the cases examined here, both the resolution and the class definition threshold have a strong influence on area estimates. The spatial resolutions where errors can be large depend on landscape spatial structure, which can be quantified using variograms. The net effect is that for the same spatial resolution, some places will exhibit much larger errors in area estimates than others. For the site in the Anhui province of China, where agricultural fields are very small (0.07 ha on the average), area estimates are highly sensitive to class definition thresholds even at the relatively fine resolution of 45 m. Conversely, in California (USA) spatial resolutions as coarse as 500 m can be used to reliably estimate cultivated areas. Results also suggest that the proportion of the total area that is cultivated significantly influences the accuracy of area estimates. When the area proportion is low, the class definition threshold must also be low to achieve an accurate area estimate. Conversely, in areas dominated by agriculture, a very stringent class definition of cultivated lands is required for accurate area estimates. While explored in the context of estimation of cultivated areas, the findings presented here are generic to the problem of area estimation using remote sensing. Copyright Elsevier Numéro de notice : A2006-321 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.004 En ligne : https://doi.org/10.1016/j.rse.2006.04.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28045
in Remote sensing of environment > vol 103 n° 2 (30/07/2006) . - pp 203 - 217[article]Angular resolution of terrestrial laser scanners / Derek D. Lichti in Photogrammetric record, vol 21 n° 114 (June - August 2006)
[article]
Titre : Angular resolution of terrestrial laser scanners Type de document : Article/Communication Auteurs : Derek D. Lichti, Auteur ; S. Jamtsho, Auteur Année de publication : 2006 Article en page(s) : pp 141 - 160 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] crénelage
[Termes IGN] dégradation d'image
[Termes IGN] échantillonnage d'image
[Termes IGN] fonction de transfert de modulation
[Termes IGN] incertitude de position
[Termes IGN] indicateur de résolution
[Termes IGN] limite de résolution géométrique
[Termes IGN] modélisation 3D
[Termes IGN] semis de points
[Termes IGN] signal laser
[Termes IGN] télémètre laser terrestreRésumé : (Auteur) II est nécessaire de connaître la résolution spatiale des scanneurs à laser pour éviter des dégradations de type aliasing et estimer le niveau de détail que l'on peut obtenir à partir d'un nuage de points scannés. On peut identifier dans la résolution spatiale une composante en distance et une angulaire. Cette dernière, qui fait l'objet de cet article, est essentiellement tributaire de l'intervalle d'échantillonnage et de la largeur du faisceau laser. Mais on considère généralement que c'est seulement l'intervalle d'échantillonnage qui constitue l'indicateur unique de résolution. Or les deux facteurs affectent la résolution de tout nuage de points scannés, de sorte que si l'on en examine un indépendamment de l'autre, on peut aboutir à une mauvaise estimation des possibilités du système. On a même pu démontrer que c'était tout à fait inadéquat, sauf dans certains cas particuliers. C'est pourquoi on propose un nouveau moyen, mieux adapté, pour déterminer la résolution des scanneurs à laser, en se basant sur le cône d'analyse instantané efficace (EIFOV). On dérive ce dernier par une modélisation faisant intervenir la variance de glissement du processus incrémental d'échantillonnage équi-angulaire, l'incertitude du positionnement provoqué par la largeur du faisceau laser et la quantification angulaire observée et en mêlant les fonctions de transfert de modulation moyennes de l'ensemble (AMTFs). On a ainsi pu modéliser et analyser plusieurs systèmes de scanneurs terrestres à laser du commerce en ce qui concerne leurs possibilités de résolution angulaire grâce à cette notion d'ElFOV. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2006-192 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2006.00367.x En ligne : https://doi.org/10.1111/j.1477-9730.2006.00367.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27919
in Photogrammetric record > vol 21 n° 114 (June - August 2006) . - pp 141 - 160[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 106-06021 RAB Revue Centre de documentation En réserve L003 Disponible Co-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation / P. Boccardo in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)
[article]
Titre : Co-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation Type de document : Article/Communication Auteurs : P. Boccardo, Auteur ; Enrico Borgogno Mondino, Auteur ; et al., Auteur Année de publication : 2006 Conférence : ISPRS 2006, Commission 1 Symposium, From sensors to imagery 03/07/2006 06/07/2006 Champs-sur-Marne [Paris Marne-la-Vallée] France OA ISPRS Archives Article en page(s) : pp 74 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] erreur systématique
[Termes IGN] homologie
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] limite de résolution géométrique
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] superposition d'imagesRésumé : (Auteur) To evaluate accuracy of low resolution vegetation mapping for hydrological purposes, a comparative study of NDVI images derived from MODIS and Landsat 7 ETM+ data has been done. Main goal is to understand how effective MODIS images can be for vegetation characterization on large areas, as compared to the Landsat 7 ETM+ ones. In this paper a methodology is proposed with the aim of measuring the difference between NDVI values derived from the two different data, considering synthetic parameters and investigating their dependency on the geometric resolution of the images. Great attention was paid to the problem of the geometric co-registration of the two types of data. This is a very sensitive parameter for the subsequent analysis. A mixed approach was adopted: images were firstly orthoprojected to eliminate sensor geometry and relief displacement effects; subsequently, a refining image-to-image co-registration procedure was carried out through a homographic transformation implemented in a self-developed routine. Two pairs of contemporary images (MODIS and Landsat 7) were used as benchmarks for our tests. Simplified procedures aimed at calibrating images and at removing atmospheric noise were performed. The resulting corrected images were used to calculate NDVI images. These ones (two pairs) were then compared through a statistical approach in order to investigate how a different geometric resolution can influence the NDVI values. The proposed approach is not a traditional image based (matrix comparison) but a new one. NDVI value correspondences were considered between the MODIS pixel and the group of Landsat pixels belonging to the polygon which represents the considered MODIS pixel in the Landsat image space. Statistics extracted on-the-fly from these Landsat pixels were used to investigate in depth the relationship between them and NDVI value of the corresponding MODIS pixel. NDVI differences were calculated between the single NDVI MODIS values and a synthetic parameter (mean value) of the homologous Landsat pixel group. A direct comparison between the NDVI values obtained from MODIS and Landsat 7 images has shown a systematic error that can be read as bias (MODIS NDVI over estimation). This led the authors to determine a suitable model in order to eliminate the bias, whose presence would have conditioned later comparisons. Original MODIS image was then corrected through the defined model. This has been designed to be suitable for any MODIS image acquired over the same area (parameterization was used). New NDVI differences were calculated using the corrected MODIS images and the previous Landsat 7 ones. In order to investigate the nature of the residual differences and to try to recognize the critical MODIS pixels, some considerations were made concerning the statistics of each corresponding group of Landsat pixels. A classification of the MODIS pixel was generated according to the behaviour of their differences with respect to the adopted statistics. Copyright SFPT Numéro de notice : A2006-624 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/PS1-04.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28347
in Revue Française de Photogrammétrie et de Télédétection > n° 182 (Juin 2006) . - pp 74 - 79[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 018-06021 RAB Revue Centre de documentation En réserve L003 Disponible Interrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 1: the urban environment / J.R. Jensen (29/03/2006)PermalinkInterrelationships between spatial resolution and per-pixel classifiers for extracting information classes part 2: the natural environment / M.E. Hodgson (29/03/2006)PermalinkEtude de différents facteurs influant les classifications d'images multi-résolution / F. Kazemipour (2006)PermalinkLa cartographie spatiale accompagne les enquêteurs / A.M. Bernard in SPOT magazine, n° 40 (01/12/2005)PermalinkMise à jour rapide des cartes topographiques : un test réussi / A.M. Bernard in SPOT magazine, n° 40 (01/12/2005)PermalinkSignature extension through space for northern landcover classification: a comparison of radiometric correction methods / I. Olthof in Remote sensing of environment, vol 95 n° 3 (15/04/2005)PermalinkA Bayesian approach to classification of multiresolution remote sensing data / G. Storvik in IEEE Transactions on geoscience and remote sensing, vol 43 n° 3 (March 2005)PermalinkSemi-automatic registration of multi-source satellite imagery with varying geometric resolutions / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)PermalinkRadarsat-2 to be launched in 2005: features and applications of Canada's second SAR satellite / K. Stephens in GIM international, vol 19 n° 1 (January 2005)PermalinkSpatially adaptative multi-resolution multispectral image fusion / J.H. Park in International Journal of Remote Sensing IJRS, vol 25 n° 23 (December 2004)PermalinkWatershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates / M.H. Cosh in Remote sensing of environment, vol 92 n° 4 (30 September 2004)PermalinkAnalytical methods of assessing the image quality associated with digital and photographic imaging systems / G.H. Thomson in Photogrammetric record, vol 19 n° 107 (September - November 2004)PermalinkEffet combiné de la résolution spatiale et de la structure du paysage sur la qualité de classification : cas des zones agricoles / Ewa Pilich-Blaquiere in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkGeometric variability of raster cell class assignment / A.M. Shortridge in International journal of geographical information science IJGIS, vol 18 n° 6 (october 2004)PermalinkHigh resolution mapping with small satellites / R. Sandau in GIS Geo-Informations-Systeme, vol 2004 n° 9 (September 2004)PermalinkTélédétection urbaine et résolution spatiale optimale : Intérêt pour les utilisateurs et aide pour les classifications / Anne Puissant in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkMapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil / K.J. Wessels in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkMapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units / A.M. Cingolani in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkChange detection techniques / Dong Lu in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)PermalinkExamining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case / D. Chen in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)Permalink