Model-Based Imaging and Feature Extraction for Synthetic Aperture<br/><br/>Radar

Tuesday, October 18, 2005 - 11:40am - 12:30pm
EE/CS 3-180
Randy Moses (The Ohio State University)
We present recent work on imaging and reconstruction of objects
from radar backscatter measurements taken over wide aspect angles.
Radar backscattering is a function of several variables, including
location, (complex-valued) amplitude, polarization, and the aspect
(azimuth and elevation) of the interrogating sensor. This
high-dimensional data is often displayed as a projection onto a
two-dimensional image. As next-generation radar systems become
increasingly diverse and capable, the assumptions and algorithms
that have been used for traditional imaging need to be
reconsidered. We present imaging techniques that accommodate
limited persistence of scattering centers on objects, and use
these techniques to develop two-dimensional object reconstructions
from wide-aperture radar measurements. We also consider physical
models of the scattering behavior of canonical shapes, and present
results on scattering feature estimation from radar backscatter
data or from complex-valued radar imagery. We discuss applications
in object reconstruction, visualization, and recognition using
these techniques.
MSC Code: