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Auteur N. Holah |
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Evaluation of a rough soil surface description with ASAR-ENVISAT radar data / Mehrez Zribi in Remote sensing of environment, vol 95 n° 1 (15/03/2005)
[article]
Titre : Evaluation of a rough soil surface description with ASAR-ENVISAT radar data Type de document : Article/Communication Auteurs : Mehrez Zribi, Auteur ; Nicolas Baghdadi, Auteur ; N. Holah, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 67 - 76 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation
[Termes IGN] angle d'incidence
[Termes IGN] approximation
[Termes IGN] Beauce
[Termes IGN] humidité du sol
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar
[Termes IGN] milieu rural
[Termes IGN] rétrodiffusion
[Termes IGN] rugosité du sol
[Termes IGN] sol nu
[Termes IGN] surface cultivéeRésumé : (Auteur) The input roughness parameters for electromagnetic backscattering modelling need to be accurate to estimate radar measurements correctly over bare soils, particularly in agricultural environments. This paper propose to evaluate the roughness description in terms of several characterisations through a correlation function using a numerical backscattering model. The experimental database used in this study is based on ASAR-ENVISAT experimental campaigns in the Beauce region (France). Two presentations of the surface height correlation function are proposed in this study. The first one, referred to as the "Ïfunction" fits the experimental correlation functions up to the correlation length, while the second one, the "(a,b) function" fits the correlation function for scales corresponding to positive values. A relationship is proposed between the rms height of soil surface and the shape of the correlation function. Using Ïfunction, comparisons between radar measurements for high incidence angles and simulations based on the numerical backscattering model (moment method) show a good agreement for soil surfaces with an rms height smaller than 2 cm with medium and high soil moisture. Numéro de notice : A2005-090 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.11.014 En ligne : https://doi.org/10.1016/j.rse.2004.11.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27228
in Remote sensing of environment > vol 95 n° 1 (15/03/2005) . - pp 67 - 76[article]Discrimination potential of X-band polarimetric SAR data / Nicolas Baghdadi in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)
[article]
Titre : Discrimination potential of X-band polarimetric SAR data Type de document : Article/Communication Auteurs : Nicolas Baghdadi, Auteur ; N. Holah, Auteur ; P. Dubois-Fernandez, Auteur ; L. Prevot, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 4933 - 4943 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse discriminante
[Termes IGN] anisotropie
[Termes IGN] Avignon
[Termes IGN] bande X
[Termes IGN] données polarimétriques
[Termes IGN] image radar moirée
[Termes IGN] image RAMSES
[Termes IGN] Radar Aéroporté Multi-Spectral d'Etude des Signatures
[Termes IGN] sol nuRésumé : (Auteur) In anticipation of X-band polarimetric Synthetic Aperture Radar (SAR) data from future sensors, we investigated the potential of X-band fully polarimetric data for discriminating between the principal classes present in a study site near Avignon, France. Decomposition and analysis techniques have been applied to a dataset acquired by the ONERA airborne RAMSES (Radar Aéroporté Multi-Spectral d'Etude des Signatures) SAR. Results show that X-band provides some discrimination capability. The polarimetric parameters, entropy and Ü-angle, show clearly that these signature classes are grouped into five clusters corresponding to physical scattering characteristics. The introduction of the anisotropy parameter does not increase our ability to distinguish between different classes whose clusters are in the same entropy/Ü-angle zone. The correlation observed between the radar signal and the surface roughness over bare soils is very low. Numéro de notice : A2004-488 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160412231269652 En ligne : https://doi.org/10.1080/01431160412231269652 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27006
in International Journal of Remote Sensing IJRS > vol 25 n° 22 (November 2004) . - pp 4933 - 4943[article]Exemplaires(1)
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