Effect of smoothing filter on continuous time domain in advanced consecutive DInSAR
Eliminating ionospheric and/or atmospheric errors from SAR images is very important to improve the detection capability of interferometric SAR. In this study, we showed the improvement of the detection ability of the advanced Consecutive DInSAR method by applying the smoothing filter on continuous t...
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Veröffentlicht in: | AIP conference proceedings 2022-09, Vol.2663 (1) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Eliminating ionospheric and/or atmospheric errors from SAR images is very important to improve the detection capability of interferometric SAR. In this study, we showed the improvement of the detection ability of the advanced Consecutive DInSAR method by applying the smoothing filter on continuous time domain, which is performed by the moving average method. The analytical accuracy of the Advanced Consecutive DInSAR was verified using Sentinel-1 and GNSS(Global Navigation Satellite System) data. The error reduction was occurred clearly from the 3 pairs images in the continuous time in the descending and ascending orbits. The RMSEs were decreased by 0.28 cm and 0.36 cm at the maximum for the descending and the ascending orbits, respectively, compared to no-using the filter. In the future, more highly accurate land deformation detection is expected by applying the smoothing filter on continuous time domain in the advanced Consecutive DInSAR. |
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ISSN: | 0094-243X 1551-7616 |
DOI: | 10.1063/5.0108027 |