Title :
Application of an extended IEM to multiple surface scattering and backscatter enhancement
Author :
Chin-Yuan Hsieh ; Fung, Adrian K.
Author_Institution :
Nat. Kaohsiung Marine Inst. of Technol., Taiwan
Abstract :
In the late 1980s backscattering enhancement and strong depolarization of waves scattered from randomly rough Gaussian surfaces with large rms slopes were observed in optical and millimeter measurements. It was noted that backscattering enhancement was most prominent, when the surface rms slope was of the order of unity, a condition under which multiple surface scattering may dominate. In this study an extended IEM model which includes surface multiple scattering called integral equation model with multiple scattering (IEMM) is applied to interpret this phenomenon. According to this model the conditions for significant multiple surface scattering to occur are (1) the normalized surface height kσ>1 and (2) the surface rms slope >0.5. In the analysis of multiple scattering from very rough surfaces it is found that there is a sharp but small peak in the specular direction also. This observation comes directly from the IEMM model and is partially confirmed by the data reported by Ishimaru. Further comparisons of IEMM with experimental data acquired from very rough surfaces show excellent agreements in bistatic scattering including backscattering enhancement
Keywords :
backscatter; electromagnetic wave scattering; geophysical techniques; integral equations; radar cross-sections; radar theory; remote sensing by radar; IEM; IEMM; backscatter; backscatter enhancement; geophysical measurement technique; integral equation model; land surface; multiple scattering; multiple surface scattering; radar remote sensing; radar scattering model; randomly rough Gaussian surface; rough surface; specular direction; terrain mapping; Backscatter; Cascading style sheets; Interference; Polarization; Reflection; Rough surfaces; Scattering parameters; Shadow mapping; Surface roughness; Surface waves;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615230