<title>Feature estimation performance using a two-dimensional parametric model of radar scattering</title>

Abstract

An attributed scattering center model exploits scattering phenomenology that is not accessed through traditional SAR image formation. Frequency, aspect, and polarization dependent scattering behaviors are jointly processed to provide a concise, descriptive, high resolution analysis of regions of interest. Used in conjunction with other features such as shadows, context, and image texture, attributed scattering center features hold promise for both featurebased and model-based automatic target recognition systems. In this conference paper. we 1)Ise11t a p?L1a11(tr1( model for radar scattering as a function of frequency and aspect angle; the model is suggested by high-frequency monostatic far-field scattering solutions provided by the geometrical theory of diffraction and physical optics. The scattering model is used for analysis of synthetic aperture radar data. The estimated parameters provide a concise. physically relevant description of measured scattering for use in target recognition, data compression and scattering studies. The scattering model may be fit to either complex-valued imagery or to radar phase history data using a nonlinear least-squares estimator. Statistical analysis of the scattering model serves to characterize uncertainty of estimated scattering parameters. Feature estimation performance bounds are evaluated for X-band, K-band, and ultra wideband synthetic aperture radar scenarios.

Differentiable Point Scattering Models for Efficient Radar Target Characterization

“…In [11], a technique is proposed that uses an iterative approach that cycles between optimizing different parameters for each scatterer via the Nelder-Mead (downhill simplex) method. Similarly, [13] also uses the Nelder-Mead method to iteratively optimize model parameters after breaking the data into smaller cells.…”

Discriminating real objects in radar imaging by exploiting the squared modulus of the continuous wavelet transform

“…Second, the amplitude dependence on aspect for localised scatterers such as trihedrals and corners is a slowly varying function modelled with a damped exponential function [8]. Third, the angle-dependent amplitude of distributed reflectors such as flat plates and dihedrals is dominated by a sinclike term as predicted by the physical optics far-field scattering theory [8]. By combining these dependences, the complex amplitude a i ( f, u) can be written in a single expression as follows…”