Improved automatic target recognition using singular value decomposition

@inproceedings{Bhatnagar1998ImprovedAT,
  title={Improved automatic target recognition using singular value decomposition},
  author={Vijay Bhatnagar and Arnab K. Shaw and Rob W. Williams},
  booktitle={ICASSP},
  year={1998}
}
A new algorithm is presented for Automatic Target Recognition (ATR) where the templates are obtained via Singular Value Decomposition (SVD) of High Range Resolution (HRR) profiles. SVD analysis of a large class of HRR data reveals that the Range-space eigenvectors corresponding to the largest singular value accounts for more than 90% of target energy. Hence, it is proposed that the Range-space eigen-vectors bc used as templates for classification. The effectiveness of data normalization and… CONTINUE READING
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