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Improvement of Persistent Scatterer Interferometry Algorithm (StaMPS) for Estimation of Deformation Using Periodogram Approach
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Zahra Sadeghi *   , Mohammad Javad Valadan Zoej , Maryam Dehghani |
| K.N.Toosi University of Technology |
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Abstract: (6116 Views) |
| Persistent Scatterer Interferometry (PSI) was presented in order to overcome the limitations of conventional Interferometry through selection of so-called Persistent Scatterers (PS) with coherent scattering behavior over time using a priori deformation model. The algorithm later developed as StaMPS (Stanford Method for Persistent Scatterers), is able to select the PSs without using a pre-defined deformation model and extract the deformation even in areas lacking the corner reflectors. However, if the deformation rate is too high, Nyquist sampling criterion required for temporal unwrapping will not be fulfilled. As a result, StaMPS will underestimate the deformation rate. In this paper, an efficient approach is presented to improve StaMPS performance for estimating high deformation rate. PS pixels are firstly selected using the method proposed in StaMPS. The linear component of deformation for all arcs connecting two PSs are then estimated using periodogram approach. The estimated linear deformation component for all PS pixels is subtracted modulo-2pi from observed wrapped phase. The residual phases can be correctly unwrapped using the Nyquist sampling criterion since the most significant contribution of the deformation signal is assumed to be linear which is mostly the case. We applied the proposed approach to the ENVISAT ASAR images of southwestern Tehran basin. The estimated deformation rate is finally compared with deformation rate extracted from images of additional adjacent track using SBAS algorithm and the value of 22.9 mm/year as standard deviation of deformation rate demonstrates the high performance of the presented approach. |
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| Keywords: Persistent Scatterer Interferometry, StaMPS, Periodogram. |
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Full-Text [PDF 1084 kb]
(2744 Downloads)
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Type of Study: Research |
Received: 2015/09/8 | Accepted: 2015/09/8 | Published: 2015/09/8
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