Abstract
Automatic target recognition using quadratic correlation filters has been reported recently. It requires the eigenvalue decomposition (EVD) of a large matrix computed using the autocorrelation matrices of target and clutter training images. In practice, situations arise where new images need to be incorporated, which perturbs the EVD. Proposed is a novel computationally efficient method to obtain the new EVD adaptively. Sample results using an infrared dataset illustrate the effectiveness of the technique. © The Institution of Engineering and Technology 2006.
Original language | American English |
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Journal | IET Electronics Letters |
Volume | 42 |
DOIs | |
State | Published - Oct 9 2006 |
Disciplines
- Signal Processing