Share Email Print
cover

Proceedings Paper

Parameter estimation of clutter pdf models
Author(s): George A. Lampropoulos; George Gigli; Anastasios Drosopoulos
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 4 December 1998
PDF: 8 pages
Proc. SPIE 3491, 1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications, (4 December 1998); doi: 10.1117/12.328666
Show Author Affiliations
George A. Lampropoulos, A.U.G. Signals Ltd. (Canada)
George Gigli, A.U.G. Signals Ltd. (Canada)
Anastasios Drosopoulos, Nortel Technology (Canada)


Published in SPIE Proceedings Vol. 3491:
1998 International Conference on Applications of Photonic Technology III: Closing the Gap between Theory, Development, and Applications
George A. Lampropoulos; Roger A. Lessard, Editor(s)

© SPIE. Terms of Use
Back to Top