Title : 
Maximum likelihood estimation of object location in diffraction tomography. II. Strongly scattering objects
         
        
            Author : 
Tsihrintzis, George A. ; Devaney, Anthony J.
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
         
        
        
        
        
            fDate : 
6/1/1991 12:00:00 AM
         
        
        
        
            Abstract : 
For pt.I see ibid., vol.39, no.3, p.672-82, 1991. The problem of estimating the location of a known scattering object from noisy, limited scattering data is solved within exact, scalar wave scattering theory. The estimation procedure is shown to be a generalization of an earlier procedure developed within the Born and Rytov approximations of weak scattering theory and is compared with that earlier procedure in a computer simulation study of electromagnetic tomography
         
        
            Keywords : 
computerised tomography; electromagnetic wave diffraction; electromagnetic wave scattering; signal detection; Born approximation; Rytov approximation; computer simulation; diffraction tomography; electromagnetic tomography; exact scattering theory; filters; limited scattering data; maximum likelihood estimation; noisy data; object location; scalar wave scattering theory; scattering objects; weak scattering theory; Backpropagation algorithms; Computed tomography; Computer simulation; Diffraction; Estimation theory; Matched filters; Maximum likelihood estimation; Parameter estimation; Radar scattering; Scattering parameters;
         
        
        
            Journal_Title : 
Signal Processing, IEEE Transactions on