Title :
MMW radar scattering statistics of terrain at near grazing incidence
Author :
De Roo, R.D. ; Ulaby, F.T. ; El-Rouby, A.E. ; Nashashibi, A.Y.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
7/1/1999 12:00:00 AM
Abstract :
The statistical behavior of clutter observed near grazing incidence and at 95 GHz is investigated for the specific cases of bare ground, snow cover, and for a heterogeneous scene. The bare ground constitutes a homogeneous target under homogeneous conditions and the magnitude of the amplitude is Rayleigh distributed. While the snow cover is a homogeneous target, the conditions under which it was observed are heterogeneous, and the Bayes rule is employed to describe its clutter distribution. The Bayes rule integrates variations due to signal fading with the underlying variations in the backscattering coefficient associated with the heterogeneity. The heterogeneous scene is also successfully described with the Bayes rule
Keywords :
Bayes methods; backscatter; probability; radar clutter; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; terrain mapping; 95 GHz; Bayes rule; MM-wave radar scattering statistics; PDF; Rayleigh distributed amplitude; backscattering coefficient; bare ground; clutter distribution; frequency averaging; heterogeneous conditions; heterogeneous scene; homogeneous conditions; homogeneous target; polarimetric radar image; signal fading; snow cover; terrain at near grazing incidence; Clutter; Frequency; Layout; Pulse measurements; Radar polarimetry; Radar scattering; Rayleigh scattering; Sea measurements; Snow; Statistics;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
