DocumentCode :
3071446
Title :
The Pareto distribution for high grazing angle sea-clutter
Author :
Rosenberg, Luke ; Bocquet, Stephen
Author_Institution :
Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
4209
Lastpage :
4212
Abstract :
Robust maritime surveillance with radar requires an accurate description of the backscatter from the sea. The probability distribution of the backscatter is commonly used to determine the threshold for separating targets from clutter. Analysis of data collected at high grazing angles, 15° and 45° by the Defence Science Technology Organisation (DSTO) Ingara fully polarimetric X-band radar has shown that the exponential power model is not sufficient to model the probability distribution of the radar backscatter. Recent studies have shown that the Pareto distribution is extremely useful as it both captures the high magnitude components of the sea-clutter and allows significantly simpler optimal and sub-optimal detectors. To further enhance the usefulness of this distribution, this paper presents a multi-look formulation which accounts for the thermal noise in the radar. The underlying shape is derived using both numerical integration and an approximation using an `effective´ shape parameter.
Keywords :
Pareto distribution; oceanographic techniques; remote sensing by radar; DSTO Ingara fully polarimetric X-band radar; Defence Science Technology Organisation; Pareto distribution; angle sea-clutter; backscatter probability distribution; effective shape parameter; multilook formulation; robust maritime surveillance; thermal noise; Approximation methods; Backscatter; Clutter; Noise; Radar; Shape; Thermal noise; Pareto; Radar; probability distribution; seaclutter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723762
Filename :
6723762
Link To Document :
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