A procedure for measuring the coherence length of the sea texture

In this paper, we deal with the analysis of the temporal coherence properties of the signal backscattered from the sea surface, in the hypothesis that it can be modeled as a compound-Gaussian process. Precisely, we address the problem of measuring to what extent a compound-Gaussian process, namely the product of a nonnegative, slowly-varying modulating signal times a rapidly varying Gaussian component, can be approximated by a Gaussian process with random variance. The problem is restated in terms of a binary hypothesis test, wherein the null hypothesis of constant modulating sequence is contrasted to any alternative. The test is calibrated resorting to pseudorandom sequences and, finally, the procedure is applied to measuring the coherence length of sea data collected by scatterometers mounted on the "Forschungsplatform Nordsee" during the SAXON experiment in November 1990.

[1]  Marco Lops,et al.  Asymptotically optimum radar detection in compound-Gaussian clutter , 1995 .

[2]  Marco Lops,et al.  Fitting the exogenous model to measured data , 1993, 1993 IEEE Instrumentation and Measurement Technology Conference.

[3]  C. Oliver Information from SAR images , 1991 .

[4]  J. Ritcey,et al.  Likelihood detection for nonfluctuating targets in ergodic K-clutter , 1995, Proceedings International Radar Conference.

[5]  Ralph B. D'Agostino,et al.  Goodness-of-Fit-Techniques , 2020 .

[6]  J. Wright A new model for sea clutter , 1968 .

[7]  J. A. Ritcey,et al.  A robust adaptive threshold detector , 1992 .

[8]  Jin Au Kong,et al.  Classification of Earth Terrain Using Polarimetric Synthetic Aperture Radar Images , 1989, Progress In Electromagnetics Research.

[9]  Marco Lops,et al.  Modelling and simulation of non-Rayleigh radar clutter , 1991 .

[10]  M. Di Bisceglie,et al.  Experimental validation of the compound-Gaussian model with measurements from SAXON-FPN , 1995, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications.

[11]  M. Sekine,et al.  Weibull radar clutter , 1990 .

[12]  C. J. Oliver Representation of radar sea clutter , 1988 .

[13]  R. Lanari,et al.  Statistical characterization of the phase process in interferometric SAR images , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[14]  E. Jakeman,et al.  A model for non-Rayleigh sea echo , 1976 .

[15]  C. Baker,et al.  Maritime surveillance radar Part 1 : Radar scattering from the ocean surface , 1990 .