The ability to detect and locate targets by day or night, over wide
areas, regardless of weather conditions has long made radar a key sensor
in many military and civil applications. However, the ability to
automatically and reliably distinguish different targets represents a
difficult challenge. Radar Automatic Target Recognition (ATR) and
Non-Cooperative Target Recognition (NCTR) captures material presented
in the NATO SET-172 lecture series to provide an overview of the
state-of-the-art and continuing challenges of radar target recognition.
Topics covered include the problem as applied to the ground, air and
maritime domains; the impact of image quality on the overall target
recognition performance; the performance of different approaches to the
classifier algorithm; the improvement in performance to be gained when a
target can be viewed from more than one perspective; the impact of
compressive sensing; advances in change detection; and challenges and
directions for future research.
Radar Automatic Target Recognition (ATR) and Non-Cooperative Target
Recognition (NCTR) explores both the fundamentals of classification
techniques applied to data from a variety of radar modes and selected
advanced techniques at the forefront of research, and is essential
reading for academic, industrial and military radar researchers,
students and engineers worldwide.