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Communication dans un congrès

Wind Field Extractions From SAR Sentinel-1 Images Using Electromagnetic Models

Ali Khenchaf 1, 2 Carole Nahum 3 Fabrice Comblet 1, 2 Tran Vu La 1, 2
1 Lab-STICC_ENSTAB_MOM_PIM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Pôle STIC_REMS
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
Abstract : Among available wind sources, i.e. measured data, numeric weather models, the retrieval of wind vectors from Synthetic Aperture Radar (SAR) data / images is particularly preferred due to a lot of SAR systems (available data in most meteorological conditions, revisit mode, high resolution, etc.). For this purpose, the retrieval of wind vectors is principally based on the empirical (EP) models, e.g. CMOD series in C-band. Little studies have been reported about the use of the electromagnetic (EM) models for wind vector retrieval, since it is quite complicated to invert. However, the EM models can be applied for most cases of polarization, frequency and wind regime. In order to evaluate the advantages and limits of the EM models for wind vector retrieval, we compare in this study estimated results by the EM and EP models for both cases of polarization (vertical-vertical, or VV-pol and horizontal- horizontal, or HH-pol).
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https://hal.archives-ouvertes.fr/hal-01653476
Contributeur : Annick Billon-Coat <>
Soumis le : vendredi 1 décembre 2017 - 15:00:39
Dernière modification le : mercredi 24 juin 2020 - 16:19:51

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  • HAL Id : hal-01653476, version 1

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Ali Khenchaf, Carole Nahum, Fabrice Comblet, Tran Vu La. Wind Field Extractions From SAR Sentinel-1 Images Using Electromagnetic Models. Living Planet Symposium, May 2016, Prague, Czech Republic. ⟨hal-01653476⟩

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