Improvement of Persistent Scatterer Interferometry to Detect Large Non-Linear Displacements with the 2π Ambiguity by a Non-Parametric Approach
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- Fumitaka Ogushi
- Tokyo Institute of Technology, Yokohama 226-8502, Japan
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- Masashi Matsuoka
- Tokyo Institute of Technology, Yokohama 226-8502, Japan
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- Marco Defilippi
- sarmap S.A., 6987 Caslano, Switzerland
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- Paolo Pasquali
- sarmap S.A., 6987 Caslano, Switzerland
説明
<jats:p>Persistent scatterer interferometry (PSI) is commonly applied to monitor surface displacements with millimetric precision. However, this technique still has trouble estimating non-linear displacements because the algorithm is designed for the slow and linear displacements. Additionally, there is a variety of non-linear displacement types, and finding an appropriate displacement model for PSI is still assumed to be a fairly large task. In this paper, the conventional PSI technique is extended using a non-parametric non-linear approach (NN-PSI), and the performance of the extended method is investigated by simulations and actual observation data processing with TerraSAR-X. In the simulation, non-linear displacements are modeled by the magnitudes and periods of the displacement, and the evaluation of NN-PSI is conducted. According to the simulation results, the maximum magnitude of the displacement that can be estimated by NN-PSI is two and a half times the magnitude of the SAR sensor’s wavelength (2.5 λ that is roughly equivalent to 8 cm for X-band, 14 cm for C-band, and 60 cm for L-band), and the period of the displacement is about three months. However, this displacement cannot be reconstructed by the conventional PSI due to the limitation, known as the 2 π displacement ambiguity. The result of the observation data processing shows that a large displacement with the 2 π ambiguity can be estimated by NN-PSI as the simulation results show, but the conventional PSI cannot reconstruct it. In addition, a different approach, Small BAseline Subset (SBAS), is applied to the same data to ensure the accuracy of results, and the correlation between NN-PSI and SBAS is 0.95, while that between the conventional PSI and SBAS is −0.66. It is concluded that NN-PSI enables the reconstruction of non-linear displacements by the non-parametric approach and the expansion of applications to measure surface displacements that could not be measured due to the limitations of the traditional PSI methods.</jats:p>
収録刊行物
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- Remote Sensing
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Remote Sensing 11 (21), 2467-, 2019-10-23
MDPI AG
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キーワード
詳細情報 詳細情報について
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- CRID
- 1360005669497855104
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- ISSN
- 20724292
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE