DocumentCode
267146
Title
Cloud Platform for Scientific Advances in Earth Surface Interferometric SAR Image Analysis
Author
Mossucca, L. ; Zinno, I. ; Elefante, S. ; De Luca, C. ; Casola, V. ; Terzo, O. ; Casu, F. ; Lanari, R.
Author_Institution
Ist. Superiore Mario Boella (ISMB), Turin, Italy
fYear
2014
fDate
15-18 Dec. 2014
Firstpage
835
Lastpage
840
Abstract
The advanced Differential SAR Interferometers (DInSAR) methodologies are widely used for the investigation of Earth´s surface deformation phenomena. In particular, the advanced DInSAR approach referred to as Small Baseline Subset (SBAS) technique is able to produce deformation velocity maps and the corresponding displacement time-series from a temporal sequence of space borne SAR acquisitions. Considering the already huge SAR data archives as well the upcoming massive data flow coming from the SENTINEL satellite constellation, cloud computing can be a valid solution to carry out DInSAR analyses thanks to its scalability and flexibility features. In this paper, the focus is given on the migration of the whole parallel version of the SBAS technique, namely P-SBAS, to a cloud environment by taking into account different parameters that influence processing time. Experimental tests that have been performed using both private and public cloud are also presented.
Keywords
artificial satellites; cloud computing; geomorphology; geophysical image processing; radar imaging; radar interferometry; synthetic aperture radar; time series; Earth surface deformation phenomena; P-SBAS; SAR data archives; SBAS technique; SENTINEL satellite constellation; advanced DInSAR approach; advanced differential SAR interferometry methodologies; cloud computing; cloud platform; deformation velocity maps; displacement time-series; earth surface interferometric SAR image analysis; scientific advances; small baseline subset technique; spaceborne SAR acquisitions; temporal sequence; Algorithm design and analysis; Cloud computing; Computer architecture; Earth; Interferometry; Random access memory; Synthetic aperture radar; DInSAR; P-SBAS parallel workflow; PaaS; cloud computing; e-science;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location
Singapore
Type
conf
DOI
10.1109/CloudCom.2014.96
Filename
7037770
Link To Document