In this work we present a fully parallel SBAS-DInSAR processing chain for the effective and massive generation of Sentinel-1 (S-1) Interferometric Wide Swath (IWS) deformation time-series. The pursued strategy to develop such a parallel processing chain fully benefits from the data acquisition characteristics of the TOPS mode, consisting of a series of bursts that can be considered as separate images to be independently processed. Such a data structure fosters the intrinsic parallelization of the S-1 IWS interferometric data processing, which can automatically be carried out through the exploitation of high-performance distributed computing infrastructures, and of efficient algorithms for tackling the huge data flow provided by the S-1 constellation.

THE PARALLEL SBAS-DINSAR PROCESSING CHAIN FOR MASSIVE GENERATION OF SENTINEL-1 DEFORMATION TIME-SERIES

M Manunta;P Berardino;M Bonano;F Casu;C De Luca;A Fusco;R Lanari;M Manzo;A Pepe;I Zinno
2018

Abstract

In this work we present a fully parallel SBAS-DInSAR processing chain for the effective and massive generation of Sentinel-1 (S-1) Interferometric Wide Swath (IWS) deformation time-series. The pursued strategy to develop such a parallel processing chain fully benefits from the data acquisition characteristics of the TOPS mode, consisting of a series of bursts that can be considered as separate images to be independently processed. Such a data structure fosters the intrinsic parallelization of the S-1 IWS interferometric data processing, which can automatically be carried out through the exploitation of high-performance distributed computing infrastructures, and of efficient algorithms for tackling the huge data flow provided by the S-1 constellation.
2018
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
SAR
SBAS-DInSAR
TOPS
SENTINEL-1
Parallel processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/348315
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