Filtering of the Atmospheric Phase Screen in InSAR Data Using the Nonequispaced Fast Fourier Transform
Contributo in Atti di convegno
Data di Pubblicazione:
2021
Citazione:
Filtering of the Atmospheric Phase Screen in InSAR Data Using the Nonequispaced Fast Fourier Transform / R. Palama, M. Crosetto, O. Monserrat, A. Barra, M. Cuevas, B. Crippa, J. Rapinski, M. Mroz (IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS). - In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS[s.l] : IEEE, 2021. - ISBN 978-1-6654-0369-6. - pp. 3979-3982 (( convegno International Geoscience and Remote Sensing Symposium tenutosi a Brussels nel 2021 [10.1109/IGARSS47720.2021.9553800].
Abstract:
This work addresses the problem of estimating and filtering the Atmospheric Phase Screen from a stack of image phases, extracted from a sequence of SAR images using the PSInSAR approach. Leveraging the assumption that the atmospheric disturbance is a signal with a high spatial correlation and low temporal correlation, a Nonequispaced FFT is used to estimate the spatial spectrum of the input data, which are distributed spatially on a non-uniform grid, then perform a lowpass filter, followed by a highpass temporal filter. The obtained APS estimate is then removed from the input data. The performance of the proposed method is evaluated over Sentinel-1 SAR data to study mining-induced terrain deformations in the Polkovice area,Poland.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Atmospheric phase correction; Nonequispaced FFT; PSInSAR; Sentinel-1; Terrain deformation
Elenco autori:
R. Palama, M. Crosetto, O. Monserrat, A. Barra, M. Cuevas, B. Crippa, J. Rapinski, M. Mroz
Link alla scheda completa:
Titolo del libro:
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS