Many imaging methods are based on inverting scattered field data. Depending on the
wavelength of the radiation with respect to the scale of the scattering inhomogeneities, this …

A linear spectral estimation technique, the PDFT algorithm, is used as part of a nonlinear
iterative reconstruction scheme to obtain improved radar images. The iterative PDFT …

We develop the theory of radar imaging from data measured by a moving antenna emitting a
single-frequency waveform. We show that, under a linearized (Born) scattering model, the …

Imaging from scattered field data is traditionally referred to as diffraction tomography. These
imaging methods, which are both numerically feasible (Fourier inversion-based) and yet …

Synthetic aperture radar (SAR) image reconstruction falls into the class of inverse
(deconvolution) problems. A spotlight mode SAR system obtains line integrals (projections) …

In this paper, a three-dimensional (3-D) extension of the well-known filtered-
backpropagation (FBP) algorithm is presented with the aim of taking into account scattered …

We describe a method for generating a high resolution image or target identifier from limited
sampled noisy Fourier data. These data are assumed to be collected from either limited …

Many imaging techniques, such as synthetic aperture radar (SAR) and computed
tomography, require reconstruction of a two-dimensional function from a collection of …

In the first topic, we investigate a promising image reconstruction algorithm proposed by W.
Lawton for spotlight-mode synthetic aperture radar (SAR). The spatial domain image is …

The problem of imaging three-dimensional strong scatterers by means of a two-dimensional
sliced tomographic reconstruction algorithm is dealt with. In particular, the focus of the paper …