FN Archimer Export Format
PT J
TI Statistical Analysis of Real Aperture Radar Field Backscattered From Sea Surfaces Under Moderate Winds by Monte Carlo Simulations
BT 
AF PINEL, Nicolas
   CHAPRON, Bertrand
   BOURLIER, Christophe
   DE BEAUCOUDREY, Nicole
   GARELLO, Rene
   GHALEB, Antoine
AS 1:1;2:2;3:1;4:1;5:3;6:4;
FF 1:;2:PDG-ODE-LOS;3:;4:;5:;6:;
C1 LUNAM ,Univ Nantes, CNRS, IETR Lab, F-44306 Nantes 3, France.
   IFREMER, Lab Oceanog Spatiale, F-29280 Plouzane, France.
   Telecom Bretagne, F-29238 Brest, France.
   ARTAL Brest Telecom Bretagne, F-29238 Brest, France.
C2 UNIV NANTES, FRANCE
   IFREMER, FRANCE
   TELECOM BRETAGNE, FRANCE
   ARTAL, FRANCE
SI BREST
   AUTRE
SE PDG-ODE-LOS
   AUTRE
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 3.514
TC 13
UR https://archimer.ifremer.fr/doc/00199/31021/29734.pdf
LA English
DT Article
DE ;Monte Carlo process;real aperture radar (RAR);sea surface electromagnetic (EM) scattering;statistical study
AB The statistical properties of the electromagnetic field backscattered from sea surfaces are studied by using asymptotic numerical methods. Sea surfaces are modeled by using the Elfouhaily et al. spectrum model. The influence of the radar spatial resolution on the field statistics is studied for various wind conditions and radar configurations, by considering equal range and azimuth resolutions. It is observed that the backscattered field phase can be assimilated to a uniform distribution and that the amplitude resembles a Rayleigh distribution. Moreover, reducing the radar spatial resolution d induces a stronger variability of the backscattered field amplitude and a departure from the Rayleigh distribution. This departure is enhanced particularly when the radar look approaches the cross-wind direction and also when increasing the wind speed. Also, a fitting of the amplitude distribution with various theoretical statistical laws (gamma, Weibull, K, and so on) highlights the general good fitting of the K distribution, which is in agreement with previous work led from measurements.
PY 2014
PD OCT
SO Ieee Transactions On Geoscience And Remote Sensing
SN 0196-2892
PU Ieee-inst Electrical Electronics Engineers Inc
VL 52
IS 10
UT 000337173200038
BP 6459
EP 6470
DI 10.1109/TGRS.2013.2296613
ID 31021
ER

EF