Evaluation of optimal synthetic discriminant filters on an application to angle determination

Jean Figue; Philippe Refregier

doi:10.1117/12.163610

9 November 1993 Evaluation of optimal synthetic discriminant filters on an application to angle determination

Jean Figue, Philippe Refregier

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163610
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

The performances of the OTSDF filters are illustrated on a particular application which consists in determining the angle and position of an airplane. For this purpose, different numerical experiments are presented. In particular, the influence of the noise characteristics is analyzed. The stability of the filters is investigated and simple regularization techniques are proposed. The robustness of correlation to different kinds of hidden parts is also studied. A real time numerical experimental system has been realized using different airplane scale models. We shall show the performances of the system with different kinds of perturbations. The correlation system has a hierarchical structure. At the first level, a rough estimation is performed, at the second level a fine angular determination is achieved and it is only at the third level that the type of the airplane is determined. This system allows to obtain 0.1 degree of mean precision in the absence of noise. This mean precision is still better than 1 degree with an input signal to noise ratio of about -22 dB. These results are obtained for 128 X 128 pixels input images.

Citation Download Citation

Jean Figue and Philippe Refregier "Evaluation of optimal synthetic discriminant filters on an application to angle determination", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163610

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KEYWORDS

Image filtering

Optical filters

Correlation function

Optimal filtering

Information operations

Berkelium

Digital filtering

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