DocumentCode :
144324
Title :
Joint magnitude and phase properties of numerically simulated highresolution VV- and HH-polarized X-band Sea backscatter over wide range of incidence angles
Author :
Toporkov, Jakov V. ; Sletten, Mark A.
Author_Institution :
Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
5025
Lastpage :
5028
Abstract :
Joint properties of high-resolution coherent sea surface backscatter at different polarizations are studied using two-dimensional (2-D) direct numerical simulations based on a first-principles boundary integral equation technique. The quantities considered include the joint probability density function for HH and VV intensities and the distribution for the phase difference between the two polarization channels. Various distribution moments and polarimetric parameters such as entropy and “alpha angle” are also examined, including their sensitivity to wind speed and noise. A broad span of incidence angles (ranging from 20 to 85 degrees) is considered, which helps elucidate the trends as backscattering geometry evolves towards low grazing regime.
Keywords :
boundary integral equations; entropy; numerical analysis; radar polarimetry; remote sensing by radar; statistical distributions; wind; 2D direct numerical simulations; HH intensity; VV intensity; alpha angle; backscattering geometry; distribution moments; entropy; first-principles boundary integral equation technique; high-resolution coherent sea surface backscatter; incidence angles; joint probability density function; low grazing regime; numerically simulated high-resolution HH-polarized X-band sea backscatter; numerically simulated high-resolution VV-polarized X-band sea backscatter; phase difference; phase properties; polarimetric parameters; polarization channels; wind speed; Backscatter; Joints; Noise; Scattering; Sea surface; Surface waves; Wind speed; clutter statistics; numerical simulations; radar polarimetry; sea surface electromagnetic scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947625
Filename :
6947625
Link To Document :
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