%0 Conference Paper
%F Oral 
%T Stochastic dynamics of sea clutter for applications to remote sensing
%+ Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
%+ Lab-STICC_ENSTAB_MOM_PIM
%+ Lab-STICC_ENSTAB_CID_TOMS
%A Roussel, Clément J.
%A Coatanhay, Arnaud
%A Baussard, Alexandre
%< avec comité de lecture
%B IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
%C Yokohama, Japan
%I IEEE
%S IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
%P 2845-2848
%8 2019-07-28
%D 2019
%R 10.1109/IGARSS.2019.8897752
%K Radar remote sensing
%K Sea clutter
%K Stochastic processes
%K Estimation
%Z Engineering Sciences [physics]
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X 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.
%G English
%L hal-02552072
%U https://hal.science/hal-02552072
%~ UNIV-BREST
%~ INSTITUT-TELECOM
%~ ENSTA-BRETAGNE
%~ CNRS
%~ UNIV-UBS
%~ CNAM
%~ ENSTA-BRETAGNE-STIC
%~ ENIB
%~ LAB-STICC
%~ INSTITUTS-TELECOM