New distortion-invariant SVRDM hierarchial classifier
Journal
Proc. SPIE
Pages
84-86
Date Issued
2004
Author(s)
Abstract
A hierarchical classifier using a new SVRDM (support vector representation and discrimination machine) is proposed for automatic target recognition. Shift and scale-invariant features are considered. In addition, we consider the ability of the classifier to reject non-object class or clutter inputs. Initial recognition and rejection test results on infra-red (IR) data are excellent.
SDGs
Type
conference paper