A kind of algorithm of faint object recognition based on higher order cumulant spectrum

A new algorithm of faint object recognition was presented, through the principles of restraining to noise of HOC and SVD being analyzed, and then based on the idea of combining HOC with SVD being given, in this paper. The integrated and valid recognition frame, included Gaussian, or non-gaussian noise controlled, higher order cumlant spectrum analyzed, recognition template designed and trained, and the classifying function raised, is formed in the algorithm. Finally, the simulation was carried out founded on the experimental data., and the results are illustrated the algorithm is effective and valid.