Automatic target recognition using new support vector machine
Journal
IEEE Int'l Joint Conf. on Neural Networks
Pages
7355597
Date Issued
2005
Author(s)
Abstract
A hierarchical classifier using a new SVRDM (support vector representation and discrimination machine) is proposed for automatic target recognition. An accuracy and distance-based method is used to design a hierarchical classifier. Our SVRDM hierarchical classifier has the ability to reject unseen non-object classes and clutter inputs. Uses of both iconic and spatial frequency domain features are considered. Initial recognition and rejection test results on infrared (IR) data are excellent.
SDGs
Type
conference paper