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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]Scale sets image analysis / Laurent Guigues in International journal of computer vision, vol 68 n°3 (July 2006)
[article]
Titre : Scale sets image analysis Type de document : Article/Communication Auteurs : Laurent Guigues , Auteur ; Jean-Pierre Cocquerez, Auteur ; Hervé Le Men , Auteur Année de publication : 2006 Article en page(s) : pp 289 - 317 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] géométrie de l'image
[Termes IGN] méthode de réduction d'énergie
[Termes IGN] partitionnement
[Termes IGN] programmation dynamique
[Termes IGN] représentation multiple
[Termes IGN] segmentation d'imageRésumé : (auteur) This paper introduces a multi-scale theory of piecewise image modelling, called the scale-sets theory, and which can be regarded as a region-oriented scale-space theory. The first part of the paper studies the general structure of a geometrically unbiased region-oriented multi-scale image description and introduces the scale-sets representation, a representation which allows to handle such a description exactly. The second part of the paper deals with the way scale-sets image analyses can be built according to an energy minimization principle. We consider a rather general formulation of the partitioning problem which involves minimizing a two-term-based energy, of the form λC + D, where D is a goodness-of-fit term and C is a regularization term. We describe the way such energies arise from basic principles of approximate modelling and we relate them to operational rate/distorsion problems involved in lossy compression problems. We then show that an important subset of these energies constitutes a class of multi-scale energies in that the minimal cut of a hierarchy gets coarser and coarser as parameter λ increases. This allows us to devise a fast dynamic-programming procedure to find the complete scale-sets representation of this family of minimal cuts. Considering then the construction of the hierarchy from which the minimal cuts are extracted, we end up with an exact and parameter-free algorithm to build scale-sets image descriptions whose sections constitute a monotone sequence of upward global minima of a multi-scale energy, which is called the “scale climbing” algorithm. This algorithm can be viewed as a continuation method along the scale dimension or as a minimum pursuit along the operational rate/distorsion curve. Furthermore, the solution verifies a linear scale invariance property which allows to completely postpone the tuning of the scale parameter to a subsequent stage. For computational reasons, the scale climbing algorithm is approximated by a pair-wise region merging scheme: however the principal properties of the solutions are kept. Some results obtained with Mumford-Shah’s piece-wise constant model and a variant are provided and different applications of the proposed multi-scale analyses are finally sketched. Numéro de notice : A2006-660 Affiliation des auteurs : MATIS+Ext (1993-2011) Thématique : IMAGERIE Nature : Article DOI : 10.1007/s11263-005-6299-0 Date de publication en ligne : 01/04/2006 En ligne : http://doi.org/10.1007/s11263-005-6299-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=86514
in International journal of computer vision > vol 68 n°3 (July 2006) . - pp 289 - 317[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
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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
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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)Interrelationships 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)PermalinkISPRS Commission 1 Symposium 2006, Paris, Marne-la-Vallée, 3-6 Juillet 2006: Des capteurs à l'imagerie, 2. Tome 2 / Alain Baudoin (2006)PermalinkISPRS Commission 1 Symposium 2006, Paris, Marne-la-Vallée, 3-6 Juillet 2006: Des capteurs à l'imagerie, vol 1. Proceedings / Alain Baudoin (2006)PermalinkASTER geometric performance / A. Iwasaki in IEEE Transactions on geoscience and remote sensing, vol 43 n° 12 (December 2005)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. 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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. 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Singh in Geocarto international, vol 17 n° 2 (June - August 2002)PermalinkPermalinkSpatial resolution improvement of MERIS images by fusion with TM images / Audrey Minghelli in IEEE Transactions on geoscience and remote sensing, vol 39 n° 7 (July 2001)PermalinkDie Satellitengradiometriemission GOCE - Theorie, technische Realisierung und wissenschaftliche Nutzung / J. Muller (2001)PermalinkFichier raster et données maillées : l'autre façon de numériser des données / M. Essevaz-Roulet in XYZ, n° 84 (septembre - novembre 2000)PermalinkFusion of high spatial and spectral resolution images: the ARSIS concept and its implementation / Thierry Ranchin in Photogrammetric Engineering & Remote Sensing, PERS, vol 66 n° 1 (January 2000)PermalinkSatellite-derived mapping [la cartographie basée sur l'imagerie satellitaire / Serge Le Blanc (2000)PermalinkPhotogrammetric capabilities of the kodak DC40, DCS420 and DCS460 digital cameras / A. 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