Title : 
A technique for removing vegetation bias from polarimetric SAR interferometry
         
        
            Author : 
Kasilingam, Dayalan ; Nomula, Madhukar ; Cloude, Shane
         
        
            Author_Institution : 
Univ. of Massachusetts, North Dartmouth, MA, USA
         
        
        
        
        
        
            Abstract : 
This paper develops a technique for separating the ground and vegetation components from polarimetric interferometric SAR measurements. The objective is to use this technique to remove the vegetation bias in interferometric measurements of elevation in forested terrain. Initial results indicate that the technique is able to compensate for the vegetation bias and provide improved estimates of the terrain elevation. However, further work is needed to estimate geophysical information about the vegetation canopy.
         
        
            Keywords : 
geodesy; geophysical techniques; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); InSAR; bias removal; elevation; forested terrain; geodesy; geophysical measurement technique; land surface; polarimetric SAR interferometry; polarimetric interferometric SAR; radar polarimetry; radar remote sensing; synthetic aperture radar; terrain mapping; topography; vegetation bias; Backscatter; Covariance matrix; Geophysical measurements; Interferometry; Phase estimation; Phase measurement; Polarization; Radar scattering; Radar tracking; Vegetation mapping;
         
        
        
        
            Conference_Titel : 
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
         
        
            Print_ISBN : 
0-7803-7536-X
         
        
        
            DOI : 
10.1109/IGARSS.2002.1025761