Parameter estimation of clutter pdf models

George A. Lampropoulos; George Gigli; Anastasios Drosopoulos

doi:10.1117/12.328666

4 December 1998 Parameter estimation of clutter PDF models

George A. Lampropoulos, George Gigli, Anastasios Drosopoulos

Proceedings Volume 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications; (1998) https://doi.org/10.1117/12.328666
Event: 1998 International Conference on Applications of Photonic Technology, 1998, Ottawa, Canada

Abstract

In this paper we present a method to obtain a maximum likelihood estimation of the parameters of the Generalized Gamma and K probability density functions. Explicit closed form expressions are derived between the model parameters and the experimental data. Due to their nonlinear nature global optimization techniques are used for solving the derive expressions with respect to clutter model parameters. Experimental results show in all attempted cases that the resulting expressions are convex functions of the parameters. In addition to the maximum likelihood solution we present two other solutions. One is based on moment and the other on histogram matching.

Citation Download Citation

George A. Lampropoulos, George Gigli, and Anastasios Drosopoulos "Parameter estimation of clutter PDF models", Proc. SPIE 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications, (4 December 1998); https://doi.org/10.1117/12.328666

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