Scattering Characteristics of Targets above a Rough Surface in SAR Images

Abstract

The modeling, simulation, and analysis of target characteristics are essential to a synthetic aperture radar (SAR) image-based autotarget recognition (ATR) system. The coupling effect between targets and rough surface is also important to the electromagnetic scattering and remote sensing. In this work, the simulations to SAR images of targets above a finite rough surface have been investigated. The effect of rough surface on the target characteristics, or the coupling between the rough surface and targets, is analyzed in details by observing changes of locations and intensities of scattering centers in the SAR images. The SAR images are obtained by taking two-dimensional inverse fast Fourier transforms (FFTs) of the scattered fields, which are computed by the combined high-frequency method of shooting and bouncing ray (SBR) and truncated-wedge incremental-length diffraction coefficients (TW-ILDCs). Simulated results of SAR images for complicated targets above a rough surface are given under the 0.25 × 0.25 m2resolution at the X band, in which the coupling effect between targets and rough surface has been studied in details.

RCS Computation and Analysis of a Diamond-shaped Thermal Jacket for Gun Barrels

“…Li et al [7] presented an efficient algorithm for near field RCS of the tank, which was an electrically large dynamic target. Zhao et al [8] studied the scattering characteristics of a tank above a rough surface in SAR images at the X-band, with the coupling effect between the target and rough surface being considered. Jiang et al [9] proposed a numerical method to analyze the electromagnetic scattering by electrically large, multiscale, perfect electrically conducting objects.…”

Potential of optical and radar satellite observations to estimate rice biophysical variables and rice yield estimation

“…The backscatter of Synthetic Aperture Radar (SAR) signals is related to the surface characteristics, the canopy structure and canopy water content ( Zhang et al, 2017). Additionally, the behaviors of backscatter from rice canopies varies with growth stage due to change in vegetation structure (e.g., plant density, height, leaf and panicle initiation) and moisture content, soil moisture, and surface roughness (Martinez-Agirre, Álvarez-Mozos, & Lievens, 2017; Bindlish & Barros, 2001;Zhao & Cui, 2013). Consequently, SAR has the potential to provide information on vegetation dynamics and canopy structure.…”

A New Shooting Bouncing Ray Method for Composite Scattering from a Target above the Electrically Large Scope Sea Surface

“…In comparison, high frequency approximation methods have the obvious advantage of electrically large EM simulations. Shooting and bouncing ray (SBR) method [9][10][11][12] is a popular and effective high frequency technique in consideration of the multipath coupling mechanisms, which can offer convincing physical insights and adequate accuracies. The traditional SBR method comprises a ray tracing process on the geometrical optics (GO) and physical optics (PO)/Kirchhoff approximation (KA) method to handle the coupling interactions among the meshed facets of the simulation model.…”