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High Performance Computing in Satellite SAR Interferometry: A Critical Perspective

Istituto per il Rilevamento Elettromagnetico dell’Ambiente, Consiglio Nazionale delle Ricerche (CNR), 80124 Napoli, Italy
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Academic Editor: Prasad S. Thenkabail
Remote Sens. 2021, 13(23), 4756; https://doi.org/10.3390/rs13234756
Received: 30 October 2021 / Revised: 20 November 2021 / Accepted: 21 November 2021 / Published: 24 November 2021
Synthetic aperture radar (SAR) interferometry has rapidly evolved in the last decade and can be considered today as a mature technology, which incorporates computationally intensive and data-intensive tasks. In this paper, a perspective on the state-of-the-art of high performance computing (HPC) methodologies applied to spaceborne SAR interferometry (InSAR) is presented, and the different parallel algorithms for interferometric processing of SAR data are critically discussed at different levels. Emphasis is placed on the key processing steps, which typically occur in the interferometric techniques, categorized according to their computational relevance. Existing implementations of the different InSAR stages using diverse parallel strategies and architectures are examined and their performance discussed. Furthermore, some InSAR computational schemes selected in the literature are analyzed at the level of the entire processing chain, thus emphasizing their potentialities and limitations. Therefore, the survey focuses on the inherent computational approaches enabling large-scale interferometric SAR processing, thus offering insight into some open issues, and outlining future trends in the field. View Full-Text
Keywords: high performance computing (HPC); parallel computing; SAR interferometry (In-SAR); synthetic aperture radar (SAR); scientific computing; cloud computing high performance computing (HPC); parallel computing; SAR interferometry (In-SAR); synthetic aperture radar (SAR); scientific computing; cloud computing
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MDPI and ACS Style

Imperatore, P.; Pepe, A.; Sansosti, E. High Performance Computing in Satellite SAR Interferometry: A Critical Perspective. Remote Sens. 2021, 13, 4756. https://doi.org/10.3390/rs13234756

AMA Style

Imperatore P, Pepe A, Sansosti E. High Performance Computing in Satellite SAR Interferometry: A Critical Perspective. Remote Sensing. 2021; 13(23):4756. https://doi.org/10.3390/rs13234756

Chicago/Turabian Style

Imperatore, Pasquale, Antonio Pepe, and Eugenio Sansosti. 2021. "High Performance Computing in Satellite SAR Interferometry: A Critical Perspective" Remote Sensing 13, no. 23: 4756. https://doi.org/10.3390/rs13234756

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