Study on Recognition for Armored Vehicle Based on Wavelet Moment and SVM

The theory that the wavelet moment could be applied to solve the problem of recognizing armored vehicles under complex ground background is analyzed.True gray images of certain tank and infantry fighting vehicle are acquired,the features of wavelet moment are extracted,and classification and recognition are carried out by using Support Vector Machine(SVM).Performance test experiments are made,the results show that: the features of wavelet moments of the normalization images are stable;the characteristics of wavelet moment have better adaptation to noise and partial-cover,and the recognition rate is more stable;the method of SVM has better capabilities of classification and recognition.