✦ LIBER ✦

A hierarchical classifier using new support vector machines for automatic target recognition

✍ Scribed by David Casasent; Yu-Chiang Wang

Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 204 KB
Volume: 18
Category: Article
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2005.06.033

No coin nor oath required. For personal study only.

✦ Synopsis

A binary hierarchical classifier is proposed for automatic target recognition. We also require rejection of non-object (non-target) inputs, which are not seen during training or validation, thus producing a very difficult problem. The SVRDM (support vector representation and discrimination machine) classifier is used at each node in the hierarchy, since it offers good generalization and rejection ability. Using this hierarchical SVRDM classifier with magnitude Fourier transform (|FT|) features, which provide shift-invariance, initial test results on infra-red (IR) data are excellent.

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