Interferometric SAR data filtering based on amplitude optimization
نویسندگان
چکیده
In this paper, a methodology of noise reduction for interferometric SAR data is proposed based on amplitude optimization model. From the relationship between the amplitude and phase of complex signal, the optimal parameter vector of the filter is constructed pixel by pixel to maximize the minor amplitude of two coherent interferometric signals. The filter is implemented on the complex signal domain instead of the phase domain. Therefore, the output is a pair of interferometric complex images, then the coherence map can be obtained, which is useful in phase unwrapping. The solution of amplitude optimization model is refined to avoid the eigen-decomposition of large scale matrix. Finally, the SIR-C/X-SAR collected dataset is used to demonstrate the effectiveness and efficiency of the proposed filter.
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