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                <title level="j">IEEE Transactions on Geoscience and Remote Sensing</title>
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                  <publisher>Institute of Electrical and Electronics Engineers</publisher>
                  <biblScope unit="volume">46</biblScope>
                  <biblScope unit="issue">4</biblScope>
                  <biblScope unit="pp">1079-1090</biblScope>
                  <date type="datePub">2008</date>
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                <term xml:lang="en">TerraSAR-X.</term>
                <term xml:lang="en">SAR interferometry (InSAR)</term>
                <term xml:lang="en">local frequencies</term>
                <term xml:lang="en">glacier monitoring</term>
                <term xml:lang="en">Experimental synthetic aperture radar (E-SAR)</term>
                <term xml:lang="en">Adaptive neighborhood</term>
                <term xml:lang="es">TerraSAR-X</term>
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              <p>Synthetic aperture radar (SAR) interferometric data offer the opportunity to measure temperate glacier surface topography and displacement. The increase of the resolution provided by the most recent SAR systems has some critical implications. For instance, a reliable estimate of the phase gradient can only be achieved by using interferogram local frequencies. In this paper, an original two-step method for estimating local frequencies is proposed. The 2-D phase signal is considered to have two deterministic components corresponding to low-resolution (LR) fringes and high-resolution (HR) patterns due to the local microrelief, respectively. The first step of the proposed algorithm consists in the LR phase flattening. In the second step, the local HR frequencies are estimated from the phase 2-D autocorrelation function computed on adaptive neighborhoods. This neighborhood is the set of connected pixels belonging to the same HR spatial feature and respecting the "local stationarity" hypothesis. Results with both simulated TerraSAR-X interferograms and real airborne E-SAR images are presented to illustrate the potential of the proposed method.</p>
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