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The cycle-property of probability density function (pdf) of the interferometric phase is demonstrated in brief. The normalized baseline pdf is presented in terms of reference baseline to conquer the constant 2π-cycle. Accordingly, a novel unwrapped phase estimation method, based on a maximum likelihood (ML) principle technique, is imported for multi-baseline SAR interferometry. Simulations corroborate...
In this paper, a novel multi-baseline phase unwrapping approach is proposed based on maximum likelihood estimation (MLE) method. Topography phase gradient is acquired by fusing multi-baseline InSAR data. It is convenient to obtain unwrapped phase by using gradient integral. Since search interval is critical for the uniqueness and accuracy of solution, low-precision digital elevation model (DEM) is...
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