Title :
Enhancement effects in polarimetric radar returns: phase difference statistics
Author :
Lang, R.H. ; Khadr, N.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
Abstract :
The probability density functions (pdfs) of the co- and cross-polarized phase differences are derived for backscatter from vegetation using the coherent and incoherent scattering theories. Unlike previous derivations, no assumptions or observations other than the applicability of the central limit theorem, the low fractional volume of the medium, the reciprocity of the scatterers, and the azimuthal symmetry of the scatterer´s orientation statistics, are employed. Everything else follows logically via the mathematics. The difference between the coherent theory and the incoherent theory is referred to as the enhancement backscatter effect. The influence of this enhancement effect on the phase difference pdfs is examined and found to be important under combined conditions of scatterer anisotropy and appropriate reflection coefficient values
Keywords :
backscatter; geophysical techniques; polarimetry; radar cross-sections; remote sensing; remote sensing by radar; backscatter; central limit theorem; co-polarization; coherent scattering; cross-polarized; geophysical measurement technique; incoherent scattering theory; land surface vegetation; pdf; phase difference statistics; polarimetric radar remote sensing method; polarimetric radar return; probability density function; Backscatter; Dielectric losses; Electromagnetic scattering; Polarization; Probability density function; Radar polarimetry; Radar scattering; Statistical distributions; Statistics; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322214