Abstract
In this paper, we propose to simulate the SAR response of semi-arid subsurfaces. We characterize the soil surfaces and subsurfaces by a two layer geo-electrical model. The up- per layer is described by its dielectrical constant, thickness, a multi-scale bi-dimensional surface roughness model by using the wavelet transform and the Mallat algorithm, and volume scattering parameters. The lower layer is described by its dielectric constant and multi-scale surface rough- ness. To compute surface, subsurface and volume scattering, we consider a two layers multi-scale bi-dimensional Small perturbations model. In this study, each surface of the two layers surface is considered as a band limited fractal random process corresponding to a superposition of a flnite number of one dimensional Gaussian processes each one having a spatial scale. We investigated the dependence of backscattering coe-cient on roughness multi-scale parameters and soil mois- ture parameters for difierent incident angles by a sensitivity analysis. This sensitivity analyses is the flrst step of an inversion procedure.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
