Tuesday, February 25, 1997
4:30-5:30 pm
1003 EECS
Abstract -
This is the second of a series of talks on robust target detection and
recognition in statistical imaging applications. In this talk we review
methodologies for robust detection under nuisance parameters, apply
methods
of exact robustness to target detection in images with unknown clutter,
show
that under some conditions these methods are equivalent to well known
CFAR
methods for the case of homogeneous clutter, and derive novel CFAR tests
for
structured inhomogeneous clutter backgrounds. The novel tests are shown
to
outperform other CFAR methods over important ranges of SNR. We conclude
with
examples for the case that the target signature is known up to a complex
scale factor, rotation, or translation, and when the target signature
lies in
a known set of possible target signatures.
For your information the following title and abstract is for the last of three talks on this topic, which I will be scheduling soon.
This is the last of series of talks on robust target detection and recognition in statistical imaging applications. In this talk we review methodologies for robust detection under nuisance parameters (local UMP, min-max, MP invariant), apply these methods to target detection in images with unknown clutter, show that these methods are equivalent to well known CFAR methods for the case of homogeneous clutter, and derive novel CFAR tests for structured inhomogeneous clutter backgrounds. The novel tests are shown to outperform other CFAR methods over important ranges of SNR. We conclude with examples in IR/SAR imaging when the target signature is known up to a scale factor and when the target signature lies in a set of known target signatures.
Biosketch -
Alfred O. Hero III was born in Boston, MA. in 1955. He received
the B.S. summa cum laude from Boston University (1980) and the Ph.D. from
Princeton University (1984), both in Electrical Engineering. He held the
G.V.N. Lothrop Fellowship in Engineering at Princeton University. He is
presently Associate Professor of Electrical Engineering and Computer
Science and Area Chair for Signal Processing at the University of
Michigan, Ann Arbor. He has held positions of Visiting Scientist at
M.I.T. Lincoln Laboratory, Lexington, MA (1987 - 1989), Visiting
Professor at Ecole Nationale de Techniques Avanc
es (ENSTA), Paris, France (1991), and William Clay Ford Fellow at Ford
Motor Company (1993). His research interests are in the areas of detection
and estimation theory applied to statistical signal and image processing.
Alfred Hero is a member of Tau Beta Pi, the New York Academy of Sciences,
the American Statistical Association, and Commission C of the
International Union of Radio Science (URSI). He was awarded the EECS
Research Excellence Award at UM in 1995. He is currently an Associate
Editor for the IEEE Transactions on Information Theory. He Chairs the
Statistical Signal and Array Processing committee of the IEEE Signal
Processing Society and is Conference Treasurer for the IEEE Signal
Processing Society. He was Chairman for Publicity for the 1986 IEEE
International Symposium on Information Theory. He was General Chairman
for the 1995 IEEE International Conference on Acoustics, Speech, and
Signal Processing.