UNSUPERVISED PARALLEL SBAS-DINSAR CHAIN FOR MASSIVE AND SYSTEMATIC SENTINEL-1 DATA PROCESSING

被引：6

作者：

Manunta, M. ^{[1
]}

Bonano, M. ^{[1
]}

Buonanno, S. ^{[1
,2
]}

Casu, F. ^{[1
]}

De Luca, C. ^{[1
,3
]}

Fusco, A. ^{[1
]}

Lanari, R. ^{[1
]}

Manzo, M. ^{[1
]}

Ojha, C. ^{[1
]}

Pepe, A. ^{[1
]}

Zinno, I. ^{[1
]}

机构：

[1] CNR, IREA, Via Diocleziano 328, I-80124 Naples, Italy

[2] Univ Roma La Sapienza, DICEA, Rome, Italy

[3] Univ Naples Federico II, IETI, Via Claudio 21, I-80124 Naples, Italy

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

关键词：

Sentinel-1; DInSAR; P-SBAS; deformation time-series; INTERFEROMETRY; ALGORITHM; RETRIEVAL;

D O I：

10.1109/IGARSS.2016.7730010

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work we present an efficient interferometric processing chain, based on the advanced DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS), for the generation of Sentinel-1A (S1A) Interferometric Wide Swath deformation time-series, which is able to exploit distributed computing architectures. The presented S1A P-SBAS processing chain has been successfully implemented within the ESA Geohazard Exploitation Platform to provide an on-demand automatic service for the unsupervised generation of P-SBAS displacement time-series. To give an idea of the effectiveness of the presented S1A processing chain, as a preliminary result we show a 12-days interferometric analysis at continental scale, carried out by exploiting 150 S1A interferometric pairs acquired over Europe for an overall covered area of about 7,500,000 km(2).

引用

页码：3890 / 3893

页数：4

共 12 条

[1] A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms
Berardino, P
Fornaro, G
Lanari, R
Sansosti, E
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11): : 2375 - 2383
[2] From Previous C-Band to New X-Band SAR Systems: Assessment of the DInSAR Mapping Improvement for Deformation Time-Series Retrieval in Urban Areas
Bonano, Manuela
Manunta, Michele
Pepe, Antonio
Paglia, Luca
Lanari, Riccardo
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (04): : 1973 - 1984
[3] A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data
Casu, F.
Manzo, M.
Lanari, R.
[J]. REMOTE SENSING OF ENVIRONMENT, 2006, 102 (3-4) : 195 - 210
[4] SBAS-DInSAR Parallel Processing for Deformation Time-Series Computation
Casu, Francesco
Elefante, Stefano
Imperatore, Pasquale
Zinno, Ivana
Manunta, Michele
De Luca, Claudio
Lanari, Riccardo
[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (08) : 3285 - 3296
[5] Costantini M., 1999, P IGARSS, P267
[6] Permanent scatterers in SAR interferometry
Ferretti, A
Prati, C
Rocca, F
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (01): : 8 - 20
[7] Lanari R, 2015, INT GEOSCI REMOTE SE, P2836, DOI 10.1109/IGARSS.2015.7326405
[8] THE DISPLACEMENT FIELD OF THE LANDERS EARTHQUAKE MAPPED BY RADAR INTERFEROMETRY
MASSONNET, D
ROSSI, M
CARMONA, C
ADRAGNA, F
PELTZER, G
FEIGL, K
RABAUTE, T
[J]. NATURE, 1993, 364 (6433) : 138 - 142
[9] TOPS Interferometry With TerraSAR-X
Prats-Iraola, Pau
Scheiber, Rolf
Marotti, Luca
Wollstadt, Steffen
Reigber, Andreas
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (08): : 3179 - 3188
[10] Sentinel 1 SAR interferometry applications: The outlook for sub millimeter measurements
Rucci, A.
Ferretti, A.
Guarnieri, A. Monti
Rocca, F.
[J]. REMOTE SENSING OF ENVIRONMENT, 2012, 120 : 156 - 163

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