Title :
Maximum a posteriori probability estimation of seafloor microroughness parameters from backscatter spatial coherence
Author :
Premus, V. ; Alexandrou, D.
Author_Institution :
Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
Abstract :
A technique is presented for the estimation of a set of parameters associated with a geologically motivated model for seafloor microroughness due to Goff and Jordan (1988). The method seeks to connect the spatial covariance of the backscattered acoustic field with the correlation properties of the seafloor by constructing the a posteriori probability density function (pdf) of the parameters that define the seafloor microroughness wavenumber spectrum. The processor maximizes the joint a posteriori probability density of the model parameter set. Due to the complexity of the probability surface, the method of simulated annealing is used to search for the globally optimum solution vector
Keywords :
acoustic field; backscatter; geophysical signal processing; geophysical techniques; maximum likelihood estimation; oceanographic techniques; seafloor phenomena; sediments; simulated annealing; sonar imaging; surface topography measurement; backscatter spatial coherence; backscattered acoustic field; correlation properties; geologically motivated model; globally optimum solution vector; maximum a posteriori probability estimation; probability density function; seafloor microroughness parameters; simulated annealing; spatial covariance; Acoustic waves; Anisotropic magnetoresistance; Backscatter; Geology; Rough surfaces; Sea floor; Sea floor roughness; Spatial coherence; Surface acoustic waves; Surface roughness;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479506
