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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)
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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 Polarimetric SAR speckle noise model / C. Lopez-Martinez in IEEE Transactions on geoscience and remote sensing, vol 41 n° 10 (October 2003)
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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 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)
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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 Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistic / Y. Zhou in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)
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Titre : Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistic Type de document : Article/Communication Auteurs : Y. Zhou, Auteur ; Alfred Stein, Auteur ; Martien Molenaar, Auteur Année de publication : 2003 Article en page(s) : pp 3547 - 3563 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bruit blanc
[Termes IGN] Chine
[Termes IGN] déformation de la croute terrestre
[Termes IGN] données de terrain
[Termes IGN] eau souterraine
[Termes IGN] erreur
[Termes IGN] erreur moyenne quadratique
[Termes IGN] extraction du sursol
[Termes IGN] géostatistique
[Termes IGN] image radar moirée
[Termes IGN] intégration de données
[Termes IGN] interferométrie différentielle
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] krigeage
[Termes IGN] nivellement
[Termes IGN] précision centimétrique
[Termes IGN] subsidence
[Termes IGN] variogrammeRésumé : (Auteur) Differential Synthetic Aperture Radar (SAR) interferometric (D-InSAR) data of ground surface deformation are affected by several error sources associated with image acquisitions and data processing. In this paper, we study the use of D-InSAR for quantifying land subsidence due to groundwater extraction. We model the data as the sum of a trend, a zeromean stochastic process and white noise. A geostatistical approach combines D-InSAR subsidence data with in situ levelling measurements. The objective of this paper is to correct the errors contained in the D-InSAR measurements by using measurements as the ground data to improve their accuracy. Discrepancies between the true subsidence values and original D-InSAR measurements are analysed at levelling points using variograms and predicted at unvisited points using kriging. The integrated measurements are obtained by subtracting the predicted errors from the original D-InSAR measurements. The proposed method is applied to data collected in the Tianjin (China) area where land subsidence occurs due to groundwater extraction. Results demonstrate the capability of the D-InSAR technique for detecting subsidence at the centimetre level, and of using a limited number of levelling points to improve the accuracy of D-InSAR deformation measurements provided the coherence of images used is high enough. Discrepancies between the true subsidence values and D-InSAR measurements are quantified using the root mean square error (RMSE). RMSE for the original data was equal to 2.8, and 0.8 for the integrated data, whereas the mean error was equal to 2.1 and 0.0, respectively. Numéro de notice : A2003-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000023880 En ligne : https://doi.org/10.1080/0143116021000023880 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22557
in International Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3547 - 3563[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-03181 RAB Revue Centre de documentation En réserve L003 Disponible Mapping urban extent using satellite radar interferometry / W. Grey in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
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Titre : Mapping urban extent using satellite radar interferometry Type de document : Article/Communication Auteurs : W. Grey, Auteur ; A. Luckman, Auteur Année de publication : 2003 Article en page(s) : pp 957 - 961 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] cartographie urbaine
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] couple stéréoscopique
[Termes IGN] croissance urbaine
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] Kappa de Cohen
[Termes IGN] milieu rural
[Termes IGN] milieu urbain
[Termes IGN] Pays de GallesRésumé : (Auteur) Phase coherence between pairs of ERS SAR images is investigated as a method for mapping urban extent in South Wales, United Kingdom. Separability indices show that image pairs with time delays of greater than 2 months and baseline separations of less than 300 m can discriminate effectively between urban and non-urban land. Classification kappa coefficients greater than 90 percent are achieved, and there is evidence to suggest that a single coherence threshold is applicable for mapping urban extent in any similar landscape. Numéro de notice : A2003-225 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.957 En ligne : https://doi.org/10.14358/PERS.69.9.957 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22520
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 957 - 961[article]Space-based surface change detection with differential synthetic-aperture radar (SAR) interferometry: Potentialities and preliminary investigations / Antonio Vettore in Geomatica, vol 57 n° 3 (September 2003)
PermalinkTexture analysis and classification of ERS SAR images for map updating of urban areas in The Netherlands / R. Dekker in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
PermalinkGéoréférencement direct des images par GPS/INS : Approche rigoureuse pour le calibrage des excentricités angulaires (boresight calibration) / Philipp Schaer in Géomatique suisse, vol 101 n° 8 (01/08/2003)
PermalinkRadar imaging of moving targets in foliage using multifrequency multiaperture polarimetric SAR / G. Wang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 8 (August 2003)
PermalinkJers SAR interferometry for land subsidence monitoring / Tazio Strozzi in IEEE Transactions on geoscience and remote sensing, vol 41 n° 7 (July 2003)
PermalinkMultitemporal repeat-pass SAR interferometry of boreal forests / J. Askne in IEEE Transactions on geoscience and remote sensing, vol 41 n° 7 (July 2003)
PermalinkSAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique / C. Colesanti in IEEE Transactions on geoscience and remote sensing, vol 41 n° 7 (July 2003)
Permalinkvol 41 n° 7 - July 2003 - Special issue on the retrieval of bio-and geophysical parameter from SAR data for land applications (Bulletin de IEEE Transactions on geoscience and remote sensing) / Geoscience and remote sensing society
PermalinkUrban subsidence monitoring using radar interferometry: algorithms and validation / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 7 (July 2003)
PermalinkDetection of building outlines based on the fusion of SAR and optical features / Florence Tupin in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)
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