title: Clutter invariant ATR.
abstract: One of the central problems in Automated Target Recognition is to accommodate the infinite variety of clutter in real military environments. The principle focus of our paper is on the construction of metric spaces where the metric measures the distance between objects of interest invariant to the infinite variety of clutter. Such metrics are formulated using second-order random field models. Our results indicate that this approach significantly improves detection/classification rates of targets in clutter.
authors.affiliation: Center for Imaging Science, Whiting School of Engineering, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA. dima@cis.jhu.edu
authors.forename: Dmitri
authors.initials: D
authors.lastname: Bitouk
authors.forename: Michael I
authors.initials: MI
authors.lastname: Miller
authors.forename: Laurent
authors.initials: L
authors.lastname: Younes
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013269:Stochastic Processes; D013382:Subtraction Technique