Target Spectra Feature Selection Using a Priori Information

This correspondence gives a method of selecting n features out of k (n < k) FFT filter outputs which characterize them classes of target signatures to be recognized. The method differs from other known techniques in that it uses a priori information of the target measurements. It is based on an error bound established by Lainiotis which is a weighted sum of Bhattacharyya coefficients.