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Remote Sens. 2012, 4(3), 745-761;

A Phase-Offset Estimation Method for InSAR DEM Generation Based on Phase-Offset Functions

National Institute for Space Research (INPE), São José dos Campos, 12227-010 SP, Brazil
Orbisat da Amazônia S. A (ORBISAT), São José dos Campos, 12244-000 SP, Brazil
Author to whom correspondence should be addressed.
Received: 9 January 2012 / Revised: 5 March 2012 / Accepted: 6 March 2012 / Published: 20 March 2012
(This article belongs to the Special Issue Remote Sensing by Synthetic Aperture Radar Technology)
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This paper presents a novel method for estimating the absolute phase offset in interferometric synthetic aperture radar (SAR) measurements for digital elevation model (DEM) generation. The method is based on “phase-offset functions (POF),” relating phase offset to topographic height, and are computed for two different overlapping interferometric data acquisitions performed with considerably different incidence angles over the same area of interest. For the purpose of extended mapping, opposite viewing directions are preferred. The two “phase-offset functions” are then linearly combined, yielding a “combined phase-offset function (CPOF)”. The intersection point of several straight lines (CPOFs), corresponding to different points in the overlap area allows for solving the phase offset for both acquisitions. Aiming at increasing performance and stability, this intersection point is found by means of averaging many points and applying principal component analysis. The method is validated against traditional phase offset estimation with corner reflectors (CR) using real OrbiSAR-1 data in X- and P-band. View Full-Text
Keywords: SAR Interferometry; phase offset estimation; absolute phase; DEM SAR Interferometry; phase offset estimation; absolute phase; DEM

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Mura, J.C.; Pinheiro, M.; Rosa, R.; Moreira, J.R. A Phase-Offset Estimation Method for InSAR DEM Generation Based on Phase-Offset Functions. Remote Sens. 2012, 4, 745-761.

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