Abstract
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 experimental system was realized using different airplane scale models. The performance of the system in response to different kinds of input perturbations is shown. The system allows us to obtain a 0.1-deg mean precision 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 demonstrates the effectiveness of the correlation technique for pattern recognition.
Published Version
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