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Low-frequency airborne repeat-pass interferometric synthetic aperture radar (InSAR) system has the characteristics of large azimuth-variant motion errors, low coherence, etc., leading to incapability of some of the algorithms which exhibit well in the narrow-beam systems. This paper proposed a strategy for P-band airborne repeat-pass InSAR system to obtain high-precision digital terrain model (DTM)...
Nonlocal interferometric phase filtering methods achieve excellent performance in both noise reduction and texture preservation, even in the case of complicated topography and low coherence. The main limitation of the nonlocal methods is the computational burden. This paper proposed a nonlocal phase filtering strategy for the practical InSAR system, which combine the nonlocal algorithm with the traditional...
A novel approach combining the local frequency estimation with wavelet transform is presented to reduce interferometrie phase noise for InSAR. First, the maximum likelihood estimator is used to obtain the frequency range of the noisy interferogram. Then, the wavelet transform is employed to obtain the wavelet coefficients of the real and imaginary parts of the complex interferogram. For the wavelet...
Interferometric phase filtering is an indispensable step to obtain accurate measurement of digital elevation model and surface displacement. In the case of low-correlation or complicated topography, traditional phase filtering methods fail in balancing noise elimination and phase preservation, which leads to inaccurate interferometric phase. A new nonlocal interferometric phase filtering method taking...
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