Efficient adaptive subspace tracking algorithm for automatic target recognition
Abbreviated Journal Title
Engineering, Electrical & Electronic
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.
"Efficient adaptive subspace tracking algorithm for automatic target recognition" (2006). Faculty Bibliography 2000s. 6488.