Next Article in Journal
Co-Training Vision-Language Models for Remote Sensing Multi-Task Learning
Next Article in Special Issue
Determination of Slow Surface Movements Around the 1915 Çanakkale Bridge During the 2022–2024 Period with Sentinel-1 Time Series
Previous Article in Journal
A2Former: An Airborne Hyperspectral Crop Classification Framework Based on a Fully Attention-Based Mechanism
Previous Article in Special Issue
Fast Low-Artifact Image Generation for Staggered SAR: A Preview-Oriented Method
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Remote Sensing
Volume 18
Issue 2
10.3390/rs18020221
remotesensing-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Quantitative Assessment of the Computing Performance for the Parallel Implementation of a Time-Domain Airborne SAR Raw Data Focusing Procedure

by
Jorge Euillades
1,2,
Paolo Berardino
1,
Carmen Esposito
1,
Antonio Natale
1,
Riccardo Lanari
1 and
Stefano Perna
1,3,*
1
Institute for Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), 80124 Napoli, Italy
2
Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora (CEDIAC), Facultad de Ingeniería (FI), Universidad Nacional de Cuyo (UNCUYO), Mendoza 5502, Argentina
3
Department of Engineering (DI), University “Parthenope”, 80143 Napoli, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(2), 221; https://doi.org/10.3390/rs18020221
Submission received: 4 December 2025 / Revised: 2 January 2026 / Accepted: 7 January 2026 / Published: 9 January 2026
(This article belongs to the Special Issue Advances in Synthetic Aperture Radar (SAR) System, Signal Processing and Applications)
Browse Figures
Versions Notes

Abstract

In this work, different implementation strategies for a Time-Domain (TD) focusing procedure applied to airborne Synthetic Aperture Radar (SAR) raw data are presented, with the key objective of quantitatively assessing their computing time. In particular, two methodological approaches are proposed: a pixel-wise strategy, which processes each image pixel independently, and a matrix-wise strategy, which handles data blocks collectively. Both strategies are further extended to parallel execution frameworks to exploit multi-threading and multi-node capabilities. The presented analysis is conducted within the context of the airborne SAR infrastructure developed at the Institute for Electromagnetic Sensing of the Environment (IREA) of the National Research Council (CNR) in Naples, Italy. This infrastructure integrates an airborne SAR sensor and a high-performance Information Technology (IT) platform well-tailored to the parallel processing of huge amounts of data. Experimental results indicate an advantage of the pixel-wise strategy over the matrix-wise counterpart in terms of computing time. Furthermore, the adoption of parallel processing techniques yields substantial speedups, highlighting its relevance for time-critical SAR applications. These findings are particularly relevant in operational scenarios that demand a rapid data turnaround, such as near-real-time airborne monitoring in emergency response contexts.
Keywords: airborne Synthetic Aperture Radar (SAR); airborne SAR infrastructure; Time-Domain (TD) SAR focusing; Back-Projection (BP) SAR algorithms; parallel SAR focusing airborne Synthetic Aperture Radar (SAR); airborne SAR infrastructure; Time-Domain (TD) SAR focusing; Back-Projection (BP) SAR algorithms; parallel SAR focusing
Graphical Abstract

Share and Cite

MDPI and ACS Style

Euillades, J.; Berardino, P.; Esposito, C.; Natale, A.; Lanari, R.; Perna, S. Quantitative Assessment of the Computing Performance for the Parallel Implementation of a Time-Domain Airborne SAR Raw Data Focusing Procedure. Remote Sens. 2026, 18, 221. https://doi.org/10.3390/rs18020221

AMA Style

Euillades J, Berardino P, Esposito C, Natale A, Lanari R, Perna S. Quantitative Assessment of the Computing Performance for the Parallel Implementation of a Time-Domain Airborne SAR Raw Data Focusing Procedure. Remote Sensing. 2026; 18(2):221. https://doi.org/10.3390/rs18020221

Chicago/Turabian Style

Euillades, Jorge, Paolo Berardino, Carmen Esposito, Antonio Natale, Riccardo Lanari, and Stefano Perna. 2026. "Quantitative Assessment of the Computing Performance for the Parallel Implementation of a Time-Domain Airborne SAR Raw Data Focusing Procedure" Remote Sensing 18, no. 2: 221. https://doi.org/10.3390/rs18020221

APA Style

Euillades, J., Berardino, P., Esposito, C., Natale, A., Lanari, R., & Perna, S. (2026). Quantitative Assessment of the Computing Performance for the Parallel Implementation of a Time-Domain Airborne SAR Raw Data Focusing Procedure. Remote Sensing, 18(2), 221. https://doi.org/10.3390/rs18020221

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop