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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 A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas / A.K. Shackelford in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : A hierarchical fuzzy classification approach for 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 1920 - 1932 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification floue
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] milieu urbain
[Termes IGN] texture d'imageRésumé : (Auteur) In this paper, we investigate the usefulness of high-resolution multispectral satellite imagery for classification of urban and suburban areas and present a fuzzy logic methodology to improve classification accuracy. Panchromatic and multispectral IKONOS image datasets are analyzed for two urban locations in this study. Both multispectral and pansharpened multispectral images are first classified using a traditional maximum-likelihood approach. Maximum-likelihood classification accuracies between 79 % to 87 % were achieved with significant misclassification error between the spectrally similar Road and Building urban land cover types. A number of different texture measures were investigated, and a length-width contextual measure is developed. These spatial measures were used to increase the discrimination between spectrally similar classes, thereby yielding higher accuracy urban land cover maps. Finally, a hierarchical fuzzy classification approach that makes use of both spectral and spatial information is presented. This technique is shown to increase the discrimination between spectrally similar urban land cover classes and results in classification accuracies that are 8 % to I I% larger than those from the traditional maximumlikelihood approach. Numéro de notice : A2003-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814627 En ligne : https://doi.org/10.1109/TGRS.2003.814627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22544
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1920 - 1932[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Road vectors update using SAR imagery: a snake-based method / L. Bentabet in IEEE Transactions on geoscience and remote sensing, vol 41 n° 8 (August 2003)
[article]
Titre : Road vectors update using SAR imagery: a snake-based method Type de document : Article/Communication Auteurs : L. Bentabet, Auteur ; S. Jodouin, Auteur ; D. Ziou, Auteur ; J. Vaillancourt, Auteur Année de publication : 2003 Article en page(s) : pp 1785 - 1803 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] chatoiement
[Termes IGN] contour
[Termes IGN] extraction du réseau routier
[Termes IGN] filtre de déchatoiement
[Termes IGN] mise à jour de base de données
[Termes IGN] virageRésumé : (Auteur) The paper presents an approach for roads detection based on synthetic aperture radar (SAR) images and road database The vectors provided by the database are refined using active contours (snakes). In this framework, we firstly develop a restoration filter based on the frost filter achieving an acceptable compromise between speckle elimination and lines preserving. This is followed by a line plausibility calculation step which is used to deform the snake from its initial location toward the final solution. The snake is reformulated using finite elements method. The setting of the snake parameters is not an obvious problem especially when they are tuned by trialanderror process. We propose a new automatic computational rule for the snake parameters. Our approach is validated by a series of tests on synthetic and SAR images. Numéro de notice : A2003-278 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.813850 En ligne : https://doi.org/10.1109/TGRS.2003.813850 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22573
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 8 (August 2003) . - pp 1785 - 1803[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03081 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of gray-level reduction and different texture spectrum encoding methods for land-use classification using a panchromatic Ikonos image / B. Xu in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 5 (May 2003)
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Titre : Comparison of gray-level reduction and different texture spectrum encoding methods for land-use classification using a panchromatic Ikonos image Type de document : Article/Communication Auteurs : B. Xu, Auteur ; E. Seto, Auteur ; P. Gong, Auteur ; R. Spear, Auteur Année de publication : 2003 Article en page(s) : pp 529 - 536 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse spectrale
[Termes IGN] analyse texturale
[Termes IGN] classification contextuelle
[Termes IGN] compression d'image
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] niveau de gris (image)
[Termes IGN] texture d'image
[Termes IGN] uniformisation d'histogramme
[Termes IGN] utilisation du solRésumé : (Auteur) In this paper, we evaluate the potential of a frequency-based contextual classifier (FBC) for landuse classification with a panchromatic Ikonos image. To capture the spatial arrangement of image graylevel values and use such information in image classification, we applied texture spectrum (TS) directly in the FBC. The effects of several data preprocessing and reduction methods on the performance of the FBC are also evaluated. The methods include four graylevel reduction (GLR) techniques and several modifications to the TS technique. The purpose of data reduction is to improve the classification efficiency of the FBC. The GLR schemes were minmax linear compression (LC), gray level binning (BN), histogram equalization (HE), and piecewise nonlinear compression (PC). Instead of using the texture measures derived from the texture spectrum, we directly applied texture spectra of various sizes in the classification. We modified the encoding algorithm in the TS and were able to reduce the number of texture units from its original 6561 to 256, 81, and 16, leading to as much as a 410 times computation efficiency. The original image and GLR images were subsequently classified with the FBC. We compared the classification accuracies and found that the GLR methods resulted in accuracies similar to that of the original image (within 0.03 kappa value). There was little difference in classification accuracy (within 0.03 kappa value) among the three modified TS methods, which were all outperformed by the original TS method. All TS methods performed considerably better than the use of the original image and the GLR methods. Numéro de notice : A2003-083 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.5.529 En ligne : http://dx.doi.org/10.14358/PERS.69.5.529 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22379
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 5 (May 2003) . - pp 529 - 536[article]Hyperspectral texture recognition using a multiscale opponent representation / M. Shi in IEEE Transactions on geoscience and remote sensing, vol 41 n° 5 (May 2003)
[article]
Titre : Hyperspectral texture recognition using a multiscale opponent representation Type de document : Article/Communication Auteurs : M. Shi, Auteur ; G. Healey, Auteur Année de publication : 2003 Article en page(s) : pp 1090 - 1095 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] analyse multiéchelle
[Termes IGN] bande infrarouge
[Termes IGN] bande spectrale
[Termes IGN] filtre de Gabor
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] reconnaissance de formes
[Termes IGN] spectromètre imageur
[Termes IGN] texture d'imageRésumé : (Auteur) We use Gabor filters to extract texture features at different scales and orientations from hyperspectral images. The texture features are derived from both individual bands and combinations of bands. We consider both spectral binning and principal components analysis for reducing the dimensionality of the input data. Using a database of Airborne Visible Infrared Imaging Spectrometer image regions, we evaluate the performance of this approach for recognizing hyperspectral textures. We show that opponent features that consider combinations of spectral bands often help improve performance. We also examine the dependence of recognition performance on the dimensionality reduction strategy and the number of spectral bands. Numéro de notice : A2003-208 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.811076 En ligne : https://doi.org/10.1109/TGRS.2003.811076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22504
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 5 (May 2003) . - pp 1090 - 1095[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03051 RAB Revue Centre de documentation En réserve L003 Disponible Comparing texture analysis methods through classification / P. Maillard in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)PermalinkRemote sensing texture analysis using multi-parameter and multi-scale features / Y. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)PermalinkAutomatische Extraktion von Straßen aus digitalen Luftbildern / Andreas Baumgartner (2003)PermalinkPhotogrammetric week' 2003, Vol 2. Tutorium PHOWO 2003 photogrammetry and 3d visualisation, added value and visions / Dieter Fritsch (2003)PermalinkLe traitement des images / Henri Maître (2003)PermalinkHigh-resolution 3D modelling and visualization of Mount Everest / Armin W. Gruen in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 1-2 (November - December 2002)PermalinkUrban object reconstruction using airborne laser elevation image and aerial image / K. Fujii in IEEE Transactions on geoscience and remote sensing, vol 40 n° 10 (October 2002)PermalinkFusion radar and optical data for land cover mapping / Nathaniel D. Herold in Geocarto international, vol 17 n° 2 (June - August 2002)PermalinkTextural and contextual land-cover classification using single and multiple classifier systems / O. Debeir in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)Permalink3D building models using laser scanning: creating a building information system: the ancient cathedral of Bergamo / Luigi Colombo in GIM international, vol 16 n° 5 (May 2002)Permalink