Title :
Statistical Analysis of a High-Resolution Sea-Clutter Database
Author :
Carretero-Moya, Javier ; Gismero-Menoyo, Javier ; Blanco-Del-Campo, Álvaro ; Asensio-López, Alberto
Author_Institution :
Dept. of Signals, Syst., & Radiocommun., Univ. Politec. de Madrid, Madrid, Spain
fDate :
4/1/2010 12:00:00 AM
Abstract :
This paper presents the statistical analysis of an experimental high-resolution sea-clutter database, collected with a high-resolution Ka-band radar at the south coast of Spain. The main motivation of this paper has been to check the validity of the available theoretical models for high-resolution sea-clutter against data corresponding to a range resolution of centimeters. The overall amplitude probability density function (pdf), the compatibility with a compound representation, and the average spectral behavior of the data are analyzed in detail. Results clearly show the suitability of the compound Gaussian model and, more precisely, that the empirical pdf is well modeled by the generalized K distribution with log-normal texture. A close agreement has also been found between the estimated clutter spectral density and a power-law model.
Keywords :
data handling; oceanographic regions; oceanographic techniques; radar clutter; remote sensing by radar; statistical analysis; Spain; clutter spectral density; compound Gaussian model; high-resolution Ka-band radar; high-resolution radar; high-resolution sea-clutter database; log-normal texture; non-Gaussian clutter; power-law model; probability density function; radar clutter; statistical analysis; theoretical models; High-resolution radar; non-Gaussian clutter; radar clutter; radar sea-surface clutter; sea clutter; statistical analysis;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2009.2033193