
Automatic Target Recognition |
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We focus on the development and implementation of a
hierarchical multi-class target classification system suitable for
dynamically changing conditions in the battle field. New support vector
representation and discrimination machine (SVRDM) classifiers are
developed. Each classifier is a separate classifier that distinguishes
one class from all of the rest. This architecture involves a tree
structure of C-1 classifiers rather than a single layer set of C-1
classifiers. Our approach uses only a subset of classifiers in any
application in traversing a path to a bottom decision node. Thus, the
number of required calculations is reduced and the classification
results are greatly improved. The multiple classifiers are further fused
via statistical decision theory for robust performance of the overall
classification. |