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| HAL : hal-00726937, version 2 |
| Fiche détaillée |  Récupérer au format |
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| IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2012), Munich : Allemagne (2012) |
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| Versions disponibles : | v1 (31-08-2012) | v2 (31-08-2012) |
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| Stochastically based wet snow mapping with SAR data |
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| Nikola Besic 1, 2Gabriel Vasile 1 |
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| (22/07/2012) |
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| This paper proposes the new method for wet snow mapping using SAR data. It represents a modified version of the existing Nagler's mapping method, based on winter/summer image comparison, which is considered as the classic one. Instead of the existing unique threshold, a variable threshold matrix (function of the local incidence angle for each pixel) is proposed, based on dry and wet snow backscattering simulation results. The new membership decision method (with the respect to the dry/wet snow classes) is introduced. It considers the intensity ratio as a stochastical process: the probability that "the intensity ratio is smaller than the corresponding dry/wet snow determined threshold" is larger than the desired confidence level. |
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| 1 : | Grenoble Images Parole Signal Automatique (GIPSA-lab) |
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CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology |
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| 2 : | Department of Electrical Engineering |
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University of Monténégro |
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| 3 : | Laboratoire franco-singapourien de recherche en électromagnétisme et radars (SONDRA) |
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SUPELEC – ONERA – Defence Science and Technology Agency (DSTA, Singapour) – National University of Singapore (NUS) |
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| 4 : | Département Electromagnétisme et Radar (Palaiseau) (DEMR) |
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ONERA |
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| 5 : | EDF R&D |
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EDF |
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| 6 : | EDF R&D |
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EDF |
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| 7 : | Laboratoire d'étude des transferts en hydrologie et environnement (LTHE) |
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CNRS : UMR5564 – OSUG – INSU – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG) – Institut de recherche pour le développement [IRD] : UR012 |
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| SIGMAPHY |
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| Domaine | : | Informatique/Traitement du signal et de l'image Sciences de l'ingénieur/Electromagnétisme Sciences de l'ingénieur/Traitement du signal et de l'image |
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| SAR – backscattering – wet snow – mapping – stochastical model |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00726937, version 2 | |
| http://hal.archives-ouvertes.fr/hal-00726937 | |
| oai:hal.archives-ouvertes.fr:hal-00726937 | |
| Contributeur : Nikola Besic | |
| Soumis le : Vendredi 31 Août 2012, 15:49:29 | |
| Dernière modification le : Mercredi 27 Mars 2013, 15:13:24 | |
