Title :
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
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;
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
DOI :
10.1109/IGARSS.2009.5417852
