IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) . vol 41 n° 10Mention de date : October 2003 Paru le : 01/10/2003 |
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Ajouter le résultat dans votre panierVegetation canopy anisotropy at 1.4 GHz / B.K. Hornbuckle in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Vegetation canopy anisotropy at 1.4 GHz Type de document : Article/Communication Auteurs : B.K. Hornbuckle, Auteur ; A.W. England, Auteur ; R.D. DE Roo, Auteur ; M.A. Fischman, Auteur ; D.L. Boprie, Auteur Année de publication : 2003 Article en page(s) : pp 2211 - 2223 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] angle d'incidence
[Termes IGN] anisotropie
[Termes IGN] couvert végétal
[Termes IGN] diffusion du rayonnement
[Termes IGN] humidité du sol
[Termes IGN] maïs (céréale)
[Termes IGN] modèle de transfert radiatif
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) We investigate anisotropy in 1.4 GHz brightness induced by a field corn vegetation canopy. We find that both polarizations of brightness are isotropic in azimuth during most of the growing season. When the canopy is senescent, the brightness is a strong function of row direction. On the other hand, the 1.4 GHz brightness is anisotropic in elevation : an isotropic zero-order radiative transfer model could not reproduce the observed change in brightness with incidence angle. Significant scatter darkening was found. The consequence of unanticipated scatter darkening would he a wet bias in soil moisture retrievals through a combination of underestimation of soil brightness (at H-pol) and underestimation of vegetation biomass (at V-pol). A new zero-order parameterization was formulated by allowing the volume scattering coefficient to be a function of incidence angle and polarization. The small magnitude of the scattering coefficients allows the zero-order to retain its limited physical significance. Numéro de notice : A2003-350 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/IGARSS.2003.1293767 En ligne : https://doi.org/10.1109/IGARSS.2003.1293767 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26430
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2211 - 2223[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Polarimetric SAR speckle noise model / C. Lopez-Martinez in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Polarimetric SAR speckle noise model Type de document : Article/Communication Auteurs : C. Lopez-Martinez, Auteur ; X. Fabregas, Auteur Année de publication : 2003 Article en page(s) : pp 2232 - 2242 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] chatoiement
[Termes IGN] filtrage du bruit
[Termes IGN] image radar moirée
[Termes IGN] matrice de covariance
[Termes IGN] polarimétrieRésumé : (Auteur) Synthetic aperture radar (SAR) data are affected by speckle noise, originated by the SAR system's coherent nature. The problem of speckle noise in one-dimensional (1-D) data is already solved, as speckle has a multiplicative characteristic. SAR polarimetry represents an extension to multidimensional data by the use of polarization wave diversity. As a consequence of the existence of a correlation degree between the SAR images, the 1-D speckle noise model cannot be extended to multidimensional SAR data. This paper is devoted to present a completely new speckle noise model for the complex covariance matrix describing polarimetric SAR data in the distributed scatterers case. As will be shown, this new model is able to identify which are the noise mechanisms in all the covariance matrix elements. The speckle noise model is validated by using real L-band polarimetric data acquired with the German E-SAR sensor. Numéro de notice : A2003-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815240 En ligne : https://doi.org/10.1109/TGRS.2003.815240 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26431
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2232 - 2242[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images / O. Mora in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images Type de document : Article/Communication Auteurs : O. Mora, Auteur ; Jordi J. Mallorquí, Auteur ; A. Broquetas, Auteur Année de publication : 2003 Article en page(s) : pp 2243 - 2253 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] équation non linéaire
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] modèle linéaire
[Termes IGN] modèle numérique de surface
[Termes IGN] mouvement de terrain
[Termes IGN] subsidence
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) In this paper, an advanced technique for the generation of deformation maps using synthetic aperture radar (SAR) data is presented. The algorithm estimates the linear and non-linear components of the displacement, the error of the digital elevation model (DEM) used to cancel the topographic terms, and the atmospheric artefacts from a reduced set of low spatial resolution interferograms. The pixel candidates are selected from those presenting a good coherence level in the whole set of interferograms and the resulting non-uniform mesh tessellated with the Delauney triangulation to establish connections among them. The linear component of movement and DEM error are estimated adjusting a linear model to the data only on the connections. Later on, this information, once unwrapped to retrieve the absolute values, is used to calculate the non-linear component of movement and atmospheric artefacts with alternate filtering techniques in both temporal and spatial domains. The method presents high flexibility with respect the required number of images and the baselines length. However, better results are obtained with large datasets of short baseline interferograms. The technique has been tested with European Remote Sensing SAR data from an area of Catalonia (Spain) and validated with on-field precise levelling measurements. Numéro de notice : A2003-352 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814657 En ligne : https://doi.org/10.1109/TGRS.2003.814657 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26432
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2243 - 2253[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications Type de document : Article/Communication Auteurs : Jong-Sen Lee, Auteur ; S.R. Cloude, Auteur ; K.P. Papathanassiou, Auteur ; M.R. Grunes, Auteur ; I.H. Woodhouse, Auteur Année de publication : 2003 Article en page(s) : pp 2254 - 2263 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] estimation de cohérence
[Termes IGN] filtre de déchatoiement
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] matrice
[Termes IGN] Pol-INSARNuméro de notice : A2003-353 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.817196 En ligne : https://doi.org/10.1109/TGRS.2003.817196 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26433
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2254 - 2263[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible A Markov random field-based approach to decision-level fusion for remote sensing image classification / Ryuei Nishii in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
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Titre : A Markov random field-based approach to decision-level fusion for remote sensing image classification Type de document : Article/Communication Auteurs : Ryuei Nishii, Auteur Année de publication : 2003 Article en page(s) : pp 2316 - 2319 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification dirigée
[Termes IGN] fusion d'images
[Termes IGN] fusion de données
[Termes IGN] segmentation d'image
[Termes IGN] test de performanceRésumé : (Auteur) A method is proposed for the enhancement of the quality of a classification result by fusing this result with remote sensing images, based on a Markov random field approach. The classification accuracy is estimated by a modified posterior probability, which is used for choosing the optimal classification result. The procedure is applied to a benchmark dataset for discrimination provided by the IEEE Geoscience and Remote Sensing Society Data Fusion Committee, and it shows an excellent performance. The classified result won the competition of the data fusion contest 2001 held by the same committee. Numéro de notice : A2003-354 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.816648 En ligne : https://doi.org/10.1109/TGRS.2003.816648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26434
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2316 - 2319[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Path processing and block adjustment with RadarSat-1 SAR images / Thierry Toutin in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Path processing and block adjustment with RadarSat-1 SAR images Type de document : Article/Communication Auteurs : Thierry Toutin , Auteur Année de publication : 2003 Article en page(s) : pp 2320 - 2328 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] angle de visée
[Termes IGN] compensation par bloc
[Termes IGN] image Radarsat
[Termes IGN] point d'appui
[Termes IGN] propagation d'erreurRésumé : (Auteur) The objectives of this research study was to determine the conditions of experimentation and application of path processing and block adjustment with synthetic aperture radar (SAR) images when few control is available. The path and block processing enabled the simultaneous adjustment of all images together to reduce the control point requirement. The method is based on the tridimensional physical model developed for multisensor images at the Canada Centre for Remote Sensing, Natural Resources processes were applied to 15 RADARSAT-1 SAR fine mode images (five paths by three rows) acquired over the Rocky Mountains, Canada from different look angles (F1 and F4) with a weak intersection geometry (6° angle). The first results of the least squares block adjustment showed that the same errors were obtained with image paths or block (20 m for three-image paths and five-path block) as with a single image (18 m). In addition to ground control points (GCPs), elevation tie points (ETPs), with a known elevation value, were used in the overlaps because the 6' look-angle difference of overlapping paths was small. However when using only GCPs in the outer paths for block adjustments, the error results deteriorated from 25 m in both directions for the three-path block to 270 m in X direction for the five-path block. This deterioration was a combination of the image pointing and cartographic errors of GCPs (25-30 m) and the weak 6° intersection angle. Consequently, GCP distribution every two paths was the solution with this dataset, and better results (35 m) was then achieved using a reduced number of GCPs in the outer paths (25 or even 10 GCPs) and middle path (six GCPs) and 20 ETPs in each overlap. However, the combined image pointing and cartographic errors of GCPs (25-30 m) are included in these 35-m error results, and the internal accuracy of the block should thus be better (around one resolution). Finally, the same minimum requirement of GCPs, as a function of their accuracy and the overlap intersection geometry, can be applied for an image, a path or a block. Numéro de notice : A2003-355 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814661 En ligne : https://doi.org/10.1109/TGRS.2003.814661 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26435
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2320 - 2328[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible Multitemporal/multiband SAR classification of urban areas using spatial analysis: statistical versus neural kernel-based approach / T. Macri Pellizzei in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : Multitemporal/multiband SAR classification of urban areas using spatial analysis: statistical versus neural kernel-based approach Type de document : Article/Communication Auteurs : T. Macri Pellizzei, Auteur ; Paolo Gamba, Auteur ; P. Lombardo, Auteur ; F. Dell'acqua, Auteur Année de publication : 2003 Article en page(s) : pp 2338 - 2353 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification par réseau neuronal
[Termes IGN] image radar moirée
[Termes IGN] image SIR-C
[Termes IGN] milieu urbain
[Termes IGN] réalité de terrain
[Termes IGN] segmentation d'image
[Termes IGN] test de performanceRésumé : (Auteur) In this paper, we derive two techniques for the classification of Multifrequency/multitemporal polarimetric SAR images, based respectively on a statistical and on a neural approach. Both techniques are especially designed to exploit the spatial structure of the observed scene, thus allowing more stable classification results. Such techniques are useful when looking at medium - to - scale features, like the boundaries between urban and non-urban areas. They are applied to a set of SIR-C images of a urban area, to test their effectiveness in the identification of the different classes that compose the observed scene. A lower and an upper bound to the classification performance are introduced to characterise their limits. They correspond respectively to pixel-by-pixel classification and to the joint classification of the pixels belonging to the different classes identified in the ground truth. The results achieved with the two approaches are quantitatively analysed by comparing them to the ground truth. Moreover, a hybrid approach is presented, where the homogeneous regions identified through statistical segmentation are classified using a neuro-fuzzy technique. Finally, a quantitative analysis of the results achieved with all the proposed techniques is carried out, showing that their classification performance is much higher than the lower bound and reasonably close to the upper bound. This is a consequence of their effectiveness in the exploitation of the spatial information. Numéro de notice : A2003-356 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.818762 En ligne : https://doi.org/10.1109/TGRS.2003.818762 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26436
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2338 - 2353[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas / A.K. Shackelford in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
[article]
Titre : A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas Type de document : Article/Communication Auteurs : A.K. Shackelford, Auteur ; C.H. Davis, Auteur Année de publication : 2003 Article en page(s) : pp 2354 - 2363 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification floue
[Termes IGN] classification orientée objet
[Termes IGN] classification pixellaire
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] logique floue
[Termes IGN] milieu urbain
[Termes IGN] segmentation d'imageRésumé : (Auteur) In this paper, we present an object-based approach for urban land cover classification from high-resolution multispectral image data that builds upon a pixel-based fuzzy classification approach. This combined pixel / object approach is demonstrated using pan-sharpened multispectral IKONOS imagery from dense urban areas. The fuzzy pixel-based classifier utilises both spectral and spatial information to discriminate between spectrally similar Road and Building urban land cover classes. After the pixel-based classification, a technique that utilises both spectral and spatial heterogeneity is used to segment the image to facilitate further object-based classification. An object-based fuzzy logic classifier is then implemented to improve upon the pixel-based classification by identifying one additional class in dense urban areas: non-road, non-building impervious surface. With the fuzzy pixel-based classification as input, the object-based classifier then uses shape, spectral. and neighbourhood features to determine the final classification of the segmented image. Using these techniques, the object-based classifier is able to identify Buildings, Impervious Surface, and Roads in dense urban areas with 76%, 81%, and 99% classification accuracies, respectively. Numéro de notice : A2003-357 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815972 En ligne : https://doi.org/10.1109/TGRS.2003.815972 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26437
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 10 (October 2003) . - pp 2354 - 2363[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03101 RAB Revue Centre de documentation En réserve L003 Disponible