posted on 2013-08-15, 13:04authored byClifford J. Nolan, Margaret Cheney, Thomas Dowling, ROMINA GABURROROMINA GABURRO
Multiply scattered waves are often neglected in imaging methods;
largely because of the inability of popular algorithms to deal with the associated nonlinear
models. This paper shows that by incorporating a known environment into the
background model, we can retain both the benefits of imaging techniques based on
linear models, as well as obtaining different views of the target scatterer. The net
result is an enhanced angular resolution of the target to be imaged.
We carry out our analysis in the context of Synthetic Aperture Radar (SAR)
imaging, which is used to produce an image of a region on the earth’s surface (the
target scatterers being buildings, etc). A plane or satellite carrying an antenna moves
along a flight track, emitting pulses of electromagnetic radiation, which scatter off
the ground, and the scattered radio waves are detected with the same antenna. The
received signals are then used to produce an image of the terrain. We consider the
case where the target we want to image is situated in the vicinity of an a-priori known
reflecting wall. This is one of the simplest possible environments for the scatterer,
and we will illustrate the enhanced angular resolution in this situation.
Although we carry out our analysis here in the context of SAR, our technique is a
general enough that it can be adapted to many imaging modalities, such as acoustics,
ultrasound, elasticity, etc. The extension of the method to other more complicated
environments is also possible.