The problem of automatically classifying sensed imagery such as synthetic aperture radar
(SAR) into a canonical set of target classes is widely known as automatic target recognition …

Airborne tracking and identification (ID) of high value ground targets is a difficult task
impacted by sensor, target, and environmental conditions. Layered sensing, using a …

Many surveillance systems incorporate High Range Resolution (HRR) radar and Synthetic
Aperture Radar (SAR) modes to be able to capture moving and stationary targets. Feature …

Of active interest in automatic target recognition (ATR) is the problem of combining the
complementary merits of multiple classifiers. This is inspired by decades of research in the …

Simultaneous tracking and identification (STID) is impacted by sensor and target dynamics
especially in move-stop-move type scenarios. For most scenarios, both moving and …

The Eigen-Template (ET) based closed-set feature extraction approach is extended to an
open-set HRR-ATR framework to develop an Open Set Probabilistic Support Vector …

This paper describes the automatic target recognition (ATR) challenge problem which
includes source code for a baseline ATR algorithm, display utilities for the results, and a high …

Airborne radar tracking in moving ground vehicle scenarios is impacted by sensor, target,
and environmental dynamics. Moving targets can be assessed with 1-D High Range …

Ground Moving Target Indicator (GMTI) and High Resolution Radar (HRR) can track position
and velocity of ground moving target. Pose, angle between position and velocity, can be …

Automatic target recognition (ATR) considers detecting, classifying and identifying different
manmade objects for combat identification (combat ID). Synthetic aperture radar (SAR) …