ANGLE DETERMINATION OF AIRPLANES BY MULTICORRELATION TECHNIQUE WITH OPTIMAL TRADE-OFF SYNTHETIC DISCRIMINANT FILTERS

The performance of optimal trade-off synthetic discriminant filters is illustrated in a particular application that consists of determining the angle and position of an airplane. A real-time numerical experimen tal system was realized using different airplane scale models. The per formance of the system in response to different kinds of input perturb ations is shown. The system allows us to obtain a 0.1-deg mean precisi on in the absence of noise. The mean precision is still better than 1 deg with an input SNR of about -22 dB. These results are obtained for 128- X 128-pixel input images. The system performance clearly demonstr ates the effectiveness of the correlation technique for pattern recogn ition.