The paper is focused on a new procedure to unwrap the interferometric phases in large stacks of A-DInSAR (Advanced Differential Interferometric SAR) data. The phase unwrapping is performed in two stages. Firstly a 2D unwrapping is performed on each interferogram of the analysed data stack. Then a pixel wise procedure is performed, which analyses "over time" all the interferometric phases of a given pixel. This procedure is based on an iterative SVD least squares method coupled with an outlier rejection strategy. The main task of the procedure is to detect, correct or reject the unwrapping errors generated during the 2D phase unwrapping. The procedure performs a kind of ID phase unwrapping (the phases are unwrapped by connecting them along the time). For this reason the entire procedure performs a 2+1D phase unwrapping. The paper firstly describes the key characteristics of the proposed algorithm. Then it illustrates the effectiveness of the proposed procedure by analysing two types of data. The first one is a simulated dataset, while the second one is based on a set of ERS SAR images acquired over Barcelona (Spain).
A 2+1D phase unwrapping for advanced DInSAR data processing / M. Crosetto, O. Monserrat, P. Muniganti, M. Sawicka, G. Rossi, L. Calcagni, B. Crippa. - In: ESA SP. - ISSN 0379-6566. - 649(2008). (Intervento presentato al convegno Advances in SAR Interferometry from Envisat and ERS Missions tenutosi a Frascati nel 2007).
A 2+1D phase unwrapping for advanced DInSAR data processing
G. Rossi;L. Calcagni;B. Crippa
2008
Abstract
The paper is focused on a new procedure to unwrap the interferometric phases in large stacks of A-DInSAR (Advanced Differential Interferometric SAR) data. The phase unwrapping is performed in two stages. Firstly a 2D unwrapping is performed on each interferogram of the analysed data stack. Then a pixel wise procedure is performed, which analyses "over time" all the interferometric phases of a given pixel. This procedure is based on an iterative SVD least squares method coupled with an outlier rejection strategy. The main task of the procedure is to detect, correct or reject the unwrapping errors generated during the 2D phase unwrapping. The procedure performs a kind of ID phase unwrapping (the phases are unwrapped by connecting them along the time). For this reason the entire procedure performs a 2+1D phase unwrapping. The paper firstly describes the key characteristics of the proposed algorithm. Then it illustrates the effectiveness of the proposed procedure by analysing two types of data. The first one is a simulated dataset, while the second one is based on a set of ERS SAR images acquired over Barcelona (Spain).
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