Published July 1, 2021 | Version v1
Conference paper Open

Filtering of the Atmospheric Phase Screen in InSAR Data Using the Nonequispaced Fast Fourier Transform

Authors/Creators

  • 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
  • 2. University of Milan
  • 3. University of Warmia and Mazury in Olsztyn

Description

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.

Notes

This research was partialy conducted under the project en-titled Automatic System for Monitoring the Influence of High-Energy Paraseismic Tremors on the Surface Using GNSS/PSInSAR Satellite Observations and Seismic Mea-surements (Project No. POIR.04.01.04-00-0056/17), co-financed from the European Regional Development Fund within the Smart Growth Operational Programme 2014-2020 © 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.

Files

IGARSS2021_Palama_APS.pdf

Files (5.4 MB)

Name Size Download all
md5:749fa64115024c781a02cf244bb261e7
5.4 MB Preview Download