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Modeling and reduction of SAR interferometric phase noise in the wavelet domain / C. Lopez-Martinez in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2553 - 2566 Titre : Modeling and reduction of SAR interferometric phase noise in the wavelet domain Type de document : Article/Communication Auteurs : C. Lopez-Martinez, Auteur ; X. Fabregas, Auteur Année de publication : 2002 Article en page(s) : pp 2553 - 2566 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] algorithme de filtrage [Termes IGN] bruit (théorie du signal) [Termes IGN] modélisation [Termes IGN] phase [Termes IGN] transformation en ondelettes Résumé : (Auteur) This paper addresses the problem of interferometric phase noise reduction in synthetic aperture radar interferometry. A new phase noise model in the complex domain is introduced and validated by using both simulated and real interferograms. This noise model is also derived in the complex wavelet domain, where a novel noise reduction algorithm, which is not based on a windowing process and without the necessity of phase unwrapping, is addressed. The use of the wavelet transform allows to maintain the spatial resolution in the filtered phase image and prevents to filter low coherence areas. By using both, simulated as well as real interferometric phase images, the performance of this algorithm, in terms of noise reduction, spatial resolution maintenance, and computational efficiency, is reported and compared with other conventional filtering approaches. Numéro de notice : A2002-347 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.806997 En ligne : https://doi.org/10.1109/TGRS.2002.806997 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22258 [article]

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SAR interferometry and statistical topography / A.M. Guarnieri in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2567 - 2581 Titre : SAR interferometry and statistical topography Type de document : Article/Communication Auteurs : A.M. Guarnieri, Auteur Année de publication : 2002 Article en page(s) : pp 2567 - 2581 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] densité spectrale de puissance [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] méthode robuste [Termes IGN] modèle numérique de surface [Termes IGN] objet fractal Résumé : (Auteur) The paper introduces a parametric model for the power spectrum density of synthetic aperture radar (SAR) interferograms. This model is derived by assuming the interferogram as a stationary frequency-modulated process and by exploiting the statistical description of earth topography provided by multifractal fields. Despite the small number of parameters involved (three to six in most cases), the model has been proven robust and accurate in most of the cases tested. In particular, the parametric probability distribution assumed for ground terrain slopes fitted the actual histogram (derived from existing digital elevation models) in a range of three to five decades. Applications to blind baseline estimation and phase unwrapping are then briefly discussed. Numéro de notice : A2002-348 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.807576 En ligne : https://doi.org/10.1109/TGRS.2002.807576 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22259 [article]

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Incidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic sea ice / Marko P. Mäkynen in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2593 - 2605 Titre : Incidence angle dependence of the statistical properties of C-band HH-polarization backscattering signatures of the Baltic sea ice Type de document : Article/Communication Auteurs : Marko P. Mäkynen, Auteur ; A.T. Manninen, Auteur ; M.H. Simila, Auteur ; J.A. Karvonen, Auteur ; M.T. Hallikainen, Auteur Année de publication : 2002 Article en page(s) : pp 2593 - 2605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] angle d'incidence [Termes IGN] Baltique, mer [Termes IGN] bande C [Termes IGN] diffusomètre [Termes IGN] glace [Termes IGN] modèle de diffusion du rayonnement [Termes IGN] modèle linéaire [Termes IGN] polarimétrie radar [Termes IGN] radar à antenne synthétique Résumé : (Auteur) Incidence angle dependence of three statistical parameters the mean of the backscattering coefficient (°) standard deviation, and autocorrelation coefficient of texture (T and T) of the C band horizontal-horizontal (HH) polarization backscattering signatures of the Baltic Sea ice are investigated using RADARSAT ScanSAR Narrow images and helicopterborne Helsinki University of Technology Scatterometer (HUTSCAT) data. The analysis of the large amount of data shows that the relationship between the mean ° in decibel scale and the incidence angle in the range from 19° to 46° is usually well described by a linear model. In general, the RADARSAT and HUTSCAT results agree with each other, and they are also supported by theoretical backscattering model calculations; the more deformed the ice, the smaller the slope between ° and the incidence angle, and the higher the moisture content of snow or ice, the larger the slope. The derived ° incidence angle dependencies can be used to roughly compensate the ° incidence angle variation in the SAR images to help their visual and automated classification. The variability of T and T with the increasing incidence angle is insignificant compared to the variability within each ice type. Their average changes with the incidence angle are so small that, in practice, their trends do not need to be compensated. The results of this study can be utilized when developing classification algorithms for the RADARSAT ScanSAR and ENVISAT HH-polarization Wide Swath images of the Baltic Sea ice. Numéro de notice : A2002-349 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.806991 En ligne : https://doi.org/10.1109/TGRS.2002.806991 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22260 [article]

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Soil moisture estimation from ERS-SAR data: toward an operational methodology / Sylvie Le Hégarat-Mascle in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2647 - 2658 Titre : Soil moisture estimation from ERS-SAR data: toward an operational methodology Type de document : Article/Communication Auteurs : Sylvie Le Hégarat-Mascle, Auteur ; Mehrez Zribi, Auteur ; F. Alem, Auteur ; A. Weisse, Auteur ; C. Loumagne, Auteur Année de publication : 2002 Article en page(s) : pp 2647 - 2658 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bassin hydrographique [Termes IGN] étalonnage radiométrique [Termes IGN] humidité du sol [Termes IGN] image ERS-SAR [Termes IGN] image radar [Termes IGN] radar imageur [Termes IGN] réalité de terrain [Termes IGN] surface cultivée [Termes IGN] traitement d'image Résumé : (Auteur) Previous studies have shown the possibility of using European Remote Sensing/Synthetic Aperture Radar (ERS/SAR) data to monitor surface soil moisture from space. The linear relationships between soil moisture and the SAR signal have been derived empirically and, thus, were a priori specific to the considered watershed. In order to overcome this limit, this study focused on two objectives. The first one was to validate over two years of data the empirical sensitivity of the radar signal to soil moisture, in the case of three agricultural watersheds with different soil compositions and land cover uses. The slope of the observed relationship was very consistent. Conversely, the offset could change, making the soil moisture retrieval only relative (and not absolute). The second one was to propose an "operational" methodology for soil moisture monitoring based on ERS/SAR data. The implementation of this methodology is based on two steps : the calibration period and the operational period. During the calibration period, ground truth campaigns are performed to measure vegetation parameters (to correct the SAR signal from the vegetation effect), and the ERS/SAR data is processed only once a field land cover map is established. In contrast, during the operational period, no vegetation field campaigns are performed, and the images are processed as soon as they are available. The results confirm the relevance of this operational methodology, since no loss of performance (in soil moisture retrieval) is observed between the calibration and operational periods. Numéro de notice : A2002-350 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.806994 En ligne : https://doi.org/10.1109/TGRS.2002.806994 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22261 [article]

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A model-based mixture-supervised classification approach in hyperspectral data analysis / M.M. Dundar in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2692 - 2699 Titre : A model-based mixture-supervised classification approach in hyperspectral data analysis Type de document : Article/Communication Auteurs : M.M. Dundar, Auteur ; D. Landgrebe, Auteur Année de publication : 2002 Article en page(s) : pp 2692 - 2699 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] covariance [Termes IGN] image hyperspectrale Résumé : (Auteur) It is well known that there is a strong relation between class definition precision and classification accuracy in pattern classification applications. In hyperspectral data analysis, usually classes of interest contain one or more components and may not be well represented by a single Gaussian density function. In this paper, a model-based mixture classifier, which uses mixture models to characterize class densities, is discussed. However, a key outstanding problem of this approach is how to choose the number of components and determine their parameters for such models in practice, and to do so in the face of limited training sets where estimation error becomes a significant factor. The proposed classifier estimates the number of subclasses and class statistics simultaneously by choosing the best model. The structure of class' s covariances is also addressed through a model-based covariance estimation technique introduced in this paper. Numéro de notice : A2002-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.807010 En ligne : https://doi.org/10.1109/TGRS.2002.807010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22262 [article]

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Simulating L-band emission of forests in view of future satellite applications / P. Ferrazzoli in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2700 - 2708 Titre : Simulating L-band emission of forests in view of future satellite applications Type de document : Article/Communication Auteurs : P. Ferrazzoli, Auteur ; Leila Guerriero, Auteur ; Jean-Pierre Wigneron, Auteur Année de publication : 2002 Article en page(s) : pp 2700 - 2708 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] emissivité [Termes IGN] forêt [Termes IGN] humidité du sol [Termes IGN] hyperfréquence [Termes IGN] modèle de transfert radiatif [Termes IGN] simulation d'image [Termes IGN] Soil Moisture and Ocean Salinity Mission Résumé : (Auteur) The microwave model developed at the Tor Vergata University is used to simulate the emissivity of forests, in order to study the performance of an L-band spaceborne radiometer, similar to that carried by the Soil Moisture Ocean Salinity mission. The model is first validated, and the importance of a correct vegetation growth parametrization in the modeling procedure is pointed out. This model is also used to calibrate a simple zeroorder radiative transfer model, since simple models have been recognized to be useful in retrieval applications at a global scale. In this paper, we show that although a zeroorder approximation cannot be directly used for forests, a simple formulation may be applied, provided the albedo and the optical depth are defined as equivalent parameters. Numéro de notice : A2002-352 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.807577 En ligne : https://doi.org/10.1109/TGRS.2002.807577 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22263 [article]

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