2 research outputs found
Demonstration and Analysis of an Extended Adaptive General Four-Component Decomposition
The overestimation of volume scattering is an
essentialshortcoming of the model-based polarimetric
syntheticaperture radar (PolSAR) target decomposition
method. It islikely to affect the measurement accuracy and
result in mixedambiguity of scattering mechanism. In this
paper, an extendedadaptive four-component decomposition
method (ExAG4UThs)is proposed. First, the orientation
angle compensation (OAC)is applied to the coherency matrix
and artificial areas areextracted as the basis for selecting the
decomposition method.Second, for the decomposition of
artificial areas, one of the twocomplex unitary transformation
matrices of the coherency matrixis selected according to the
wave anisotropy (Aw). In addition, thebranch condition that is
used as a criterion for the hierarchicalimplementation
decomposition is the ratio of the correlationcoefficient (Rcc).
Finally, the selected unitary transformationmatrix and
discriminative threshold are used to determine thestructure
of the selected volume scattering models, which aremore
effectively to adapt to various scattering mechanisms. Inthis
paper, the performance of the proposed method is
evaluatedon GaoFen-3 full PolSAR data sets for various time
periods andregions. The experimental results demonstrate
that the proposedmethod can effectively represent the
scattering characteristics ofthe ambiguous regions and the
oriented building areas can bewell discriminated as dihedral
or odd-bounce structures