Construction of a general spatial filter as a constrained optimization question

Robert R. Kallman

doi:10.1117/12.160280

25 October 1993 Construction of a general spatial filter as a constrained optimization question

Robert R. Kallman

Proceedings Volume 1959, Optical Pattern Recognition IV; (1993) https://doi.org/10.1117/12.160280
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

A method for designing a general spatial filter as a constrained optimization question is given. This method makes full use of all the free parameters in the design problem. In most instances this method seems to give results which are far superior to those obtained by the synthetic discriminant function technique and its descendants and variants. This is especially true for instances in which there are many true and false targets. The difference between the two techniques may be approximately described as the difference between actually optimizing a rather complicated function and optimizing a linear approximation to the function.

Citation Download Citation

Robert R. Kallman "Construction of a general spatial filter as a constrained optimization question", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160280

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