ALTERNATIVE TO FOUR-COMPONENT DECOMPOSITION FOR POLARIMETRIC SAR
There are more unknowns than equations to solve for previous four-component decomposition methods. In this case, the nonnegative power of each scattering mechanism has to be determined with some assumptions and physical power constraints. This paper presents a new decomposition scheme, which models...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/207/2016/isprs-annals-III-7-207-2016.pdf |
| Summary: | There are more unknowns than equations to solve for previous four-component decomposition methods. In this case, the
nonnegative power of each scattering mechanism has to be determined with some assumptions and physical power constraints. This
paper presents a new decomposition scheme, which models the measured matrix after polarimetric orientation angle (POA)
compensation as a linear sum of five scattering mechanisms (i.e., odd-bounce scattering, double-bounce scattering, diffuse scattering,
volume scattering, and helix scattering). And the volume scattering power is calculated by a slight modified NNED method, owing to
this method considering the external volume scattering model from oblique dihedral structure. After the helix and volume scattering
powers have been determined sequentially, the other three scattering powers are estimated by combining the generalized similarity
parameter (GSP) and the eigenvalue decomposition. Among them, due to POA compensation, the diffuse scattering induced from a
dihedral with a relative orientation of 45º has negligible scattering power. Thus, the new method can be reduced as four-component
decomposition automatically. And then the ALOS-2 PolSAR data covering Guiyang City, Guizhou Province, China were used to
evaluate the performance of the new method in comparison with some classical decomposition methods (i.e. Y4R, S4R and G4U). |
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| ISSN: | 2194-9042 2194-9050 |