研究目的
To estimate the polarimetric ground component under vegetation using polarimetric multi-baseline (MB) Synthetic Aperture Radar (SAR) Interferometry data and to analyze the effect of non-uniqueness in the separation algorithm.
研究成果
The isolated ground component consists of two dominant scattering mechanisms. The alpha angle of the isolated ground component can be used to characterize the type of scattering mechanisms on the ground. The effect of the changing vegetation cover on the polarimetric alpha is very pronounced while no significant effect of the change in soil moisture by 5 vol% could be identified.
研究不足
The solution of the applied separation algorithm is not unique and depends on the constraints in the regularization. The sensitivity to soil moisture is very low and concealed by the changing surface to dihedral power ratio.
1：Experimental Design and Method Selection:
The study uses polarimetric MB SAR Interferometry to separate ground and volume scattering components under vegetation. A model-based separation algorithm exploiting the full polarimetric observation space is applied.
2：Sample Selection and Data Sources:
Experimental MB SAR data acquired by DLR’s airborne sensor F-SAR over an agricultural test site in Wallerfing (South Germany) at C-band.
3：List of Experimental Equipment and Materials:
DLR’s airborne sensor F-SAR.
4：Experimental Procedures and Operational Workflow:
The data were acquired on June 12 and July 03 in 2014 and July 10 in 2015. A subset of the images with 870 m × 2100 m is selected with an incidence angle variation between 30° and 47°.
5：A subset of the images with 870 m × 2100 m is selected with an incidence angle variation between 30° and 47°.
Data Analysis Methods:
5. Data Analysis Methods: The polarimetric entropy and mean alpha angle of the isolated ground component are compared to the original polarimetry of the full image.
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