Comparison of Gaussian and Rayleigh noise models in inversion of subsurface parameters of layered rough surfaces using simulated annealing

Author

Tabatabaeenejad, Alireza ; Moghaddam, Mahta

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA

Volume

3

fYear

2009

fDate

12-17 July 2009

Abstract

This work addresses the noise sensitivity of the simulated annealing method in inversion of subsurface parameters of layered rough surfaces to measurement noise. We consider two different noise models and assess the noise response of the inversion algorithm for each of the models. Conclusions are made based on the calculated average and standard deviation of the output error in the retrieved model parameters.

Keywords

Gaussian noise; electromagnetic wave propagation; inhomogeneous media; inverse problems; remote sensing; rough surfaces; simulated annealing; Gaussian noise model; Rayleigh noise model; layered rough surfaces; measurement noise; simulated annealing; subsurface parameter inversion; Computational modeling; Frequency; Gaussian noise; Noise measurement; Pollution measurement; Radar scattering; Rayleigh scattering; Rough surfaces; Simulated annealing; Surface roughness; Cramer-Rao lower bound; inversion; layered rough surfaces; noise analysis; simulated annealing; subsurface parameters;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009

Conference_Location

Cape Town

Print_ISBN

978-1-4244-3394-0

Electronic_ISBN

978-1-4244-3395-7

Type

conf

DOI

10.1109/IGARSS.2009.5417852

Filename

5417852