Title : 
Hybrid of the method of moments/ Monte Carlo technique and a surface scattering model for estimating the radar backscatters OF harvested farm fields
         
        
            Author : 
Oh, Yisok ; Hwang, Ji-Hwan
         
        
            Author_Institution : 
Dept. of Electron. Inf. & Commun. Eng., Hongik Univ., Seoul, South Korea
         
        
        
        
        
            Abstract : 
The method of moments/Monte Carlo technique is used to numerically compute the Mueller matrix for radar backscattering from stem-cut cluster sections of a harvested farm field, and a semi-empirical surface scattering model is employed for estimating the radar backscatter of a rough soil surface. The full-wave numerical technique and the surface scattering model are combined to compute the Mueller matrix and consequently the backscattering coefficients of a harvest farm field. This hybrid technique is verified comparing the numerical computations with the experimental measurements for the backscattering coefficients of harvested rice fields.
         
        
            Keywords : 
Monte Carlo methods; backscatter; method of moments; remote sensing by radar; soil; vegetation mapping; Monte Carlo technique; Mueller matrix; backscattering coefficients; harvested farm fields; harvested rice fields; moment method; numerical technique; radar backscattering; rough soil surface; stem-cut cluster sections; surface scattering model; Backscatter; Moment methods; Monte Carlo methods; Optical scattering; Radar measurements; Radar scattering; Rough surfaces; Soil measurements; Solid modeling; Surface roughness; Moment method; Monte Carlo technique; harvested farming fields; radar backscatter; surface scattering model;
         
        
        
        
            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.2009.5418008