Automatic target recognition using new support vector machine

@article{Casasent2005AutomaticTR,
  title={Automatic target recognition using new support vector machine},
  author={David Casasent and Yu-Chiang Wang},
  journal={Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.},
  year={2005},
  volume={1},
  pages={84-89 vol. 1}
}
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. 

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