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Communication dans un congrès

Stochastic dynamics of sea clutter for applications to remote sensing

Clément J. Roussel 1 Arnaud Coatanhay 2 Alexandre Baussard 3
2 Lab-STICC_ENSTAB_MOM_PIM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENSTAB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : The interaction between electromagnetic waves and a dynamic sea surface remains an open problem. We propose to use a model for the sea clutter based on stochastic differential equations, in which the clutter is modelled by stationary Markov stochastic processes. Transition probabilities can be used in the context of a moving sensor to synchronize data recorded at different times from different viewpoints. The three parameters of the model, A and alpha for the radar cross section, and B for the speckle, can be estimated by maximum likelihood. We derive here the stochastic differential equations for the model including a target. We derive formula for maximum likelihood estimation of the target parameters, and apply them to numerical experiments to illustrate their performance.
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https://hal.archives-ouvertes.fr/hal-02552072
Contributeur : Marie Briec <>
Soumis le : jeudi 23 avril 2020 - 11:57:41
Dernière modification le : mercredi 24 juin 2020 - 16:19:56

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Clément J. Roussel, Arnaud Coatanhay, Alexandre Baussard. Stochastic dynamics of sea clutter for applications to remote sensing. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE Geoscience and Remote Sensing Society, Jul 2019, Yokohama, Japan. pp.2845-2848, ⟨10.1109/IGARSS.2019.8897752⟩. ⟨hal-02552072⟩

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