Dual-baseline SAR interferometry from correlated phase signals

Lucido, Mario; Meglio, F.; Pascazio, Vito; Schirinzi, Gilda

doi:10.1109/radar.2008.4721098

Cited by 5 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, its inverse is still a block diagonal matrix, with symmetric and positive semidefinite blocks given by the inverse of the blocks of (13) where (14) By simple calculations, we find that (15) In order to determine the pdf of the dual-channel interferometric phases and , it is convenient to express the complex variables in (1) in terms of (2). Exploiting (15) and (2), the pdf in (9) is expressed in terms of amplitudes and phases [18] ( 16) where and are the random vectors collecting the amplitudes and the phases introduced in (2).…”

Section: Dual-baseline Interferograms Joint Pdfmentioning

confidence: 99%

See 1 more Smart Citation

Closed-Form Evaluation of the Second-Order Statistical Distribution of the Interferometric Phases in Dual-Baseline SAR Systems

Lucido

Meglio

Pascazio

et al. 2010

IEEE Trans. Signal Process.

Self Cite

View full text Add to dashboard Cite

Multichannel inteferometric synthetic aperture radar (InSAR) systems allow to improve the accuracy of the estimation of the height profiles of the observed scenes. Multichannel images can be acquired by using different sensors operating at different frequencies (multifrequency InSAR) or acquiring multiple images with slightly different view angles (multibaseline InSAR). The enhanced accuracy height estimation is obtained exploiting the multichannel interferometric phases and an a priori inaccurate ground profile and requires the knowledge of the joint probability distribution of the multichannel interferometric phases, whose evaluation in a closed form is very complicated and is not found in literature. In this paper, we evaluate the analytical form of the second-order probability density function (pdf) of dual-baseline InSAR phase interferograms, obtained from three mutually correlated interferometric images. The evaluation exploits the Gaussian model for the complex SAR images, takes into account the mutual correlation of all the images, and does not use any approximation. The closed form of the second-order joint pdf can be usefully adopted in statistical digital elevation model (DEM) estimation methods using dual-baseline SAR systems, which commonly use an approximate expression of the joint pdf of measured interferometric phases, given by the product of the marginal pdfs of each phase interferogram, obtained in the assumption of independent interferograms. The effect of this approximation is evaluated by computing the Cramer-Rao lower bounds and the mean square estimation errors obtained using the exact and the approximate model. Presented results represent the basis for the generalization to the case of more than two interferograms.Index Terms-Digital elevation model (DEM) estimation, higher order statistics, multibaselines synthetic aperture radar (SAR) interferometry, phase difference statistical distribution.

show abstract

Section: Dual-baseline Interferograms Joint Pdfmentioning

confidence: 99%

“…We presented first results about such evaluation in [16]. In this paper, we present the original derivation procedure of the closed form of the joint pdf, obtained by applying a complicated procedure consisting, first of all, in the determination of a transformation of the integral variables.…”

Section: Introductionmentioning

confidence: 99%