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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
