Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities

Satellite-borne synthetic aperture radar (SAR) technology has revolutionized remote sensing applications by providing high-resolution and all-weather imaging capabilities. With the increasing availability of SAR data, the need for efficient data processing has become crucial. Onboard processing has...

Full description

Saved in:
Bibliographic Details
Main Authors: Laura Parra Garcia, Gianluca Furano, Max Ghiglione, Valentina Zancan, Ernesto Imbembo, Christos Ilioudis, Carmine Clemente, Paolo Trucco
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10547107/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850052048959045632
author Laura Parra Garcia
Gianluca Furano
Max Ghiglione
Valentina Zancan
Ernesto Imbembo
Christos Ilioudis
Carmine Clemente
Paolo Trucco
author_facet Laura Parra Garcia
Gianluca Furano
Max Ghiglione
Valentina Zancan
Ernesto Imbembo
Christos Ilioudis
Carmine Clemente
Paolo Trucco
author_sort Laura Parra Garcia
collection DOAJ
description Satellite-borne synthetic aperture radar (SAR) technology has revolutionized remote sensing applications by providing high-resolution and all-weather imaging capabilities. With the increasing availability of SAR data, the need for efficient data processing has become crucial. Onboard processing has emerged as a promising solution to address the challenges associated with limited downlink capacity and final data products latency. Performing data processing and compression directly on the airborne platform reduces the raw data transmitted to ground stations, which offers several key benefits. First, it significantly reduces the data volume to be downlinked, optimizing the usage of limited bandwidth and minimizing transmission delays. Second, onboard processing enables faster access to processed data products, allowing for quicker decision-making and timely response to dynamic events, enhancing the real-time capabilities of the system that are particularly valuable in time-critical applications. This article discusses various onboard processing techniques employed in SAR systems and explores their challenges, like computational constraints, architectural impacts, power consumption, and algorithm optimization. Furthermore, it examines the potential future developments in onboard processing, such as the integration of artificial intelligence and machine learning techniques to enhance data analysis and decision-making capabilities. The advancements in onboard processing have the potential to revolutionize the way SAR missions are conducted. By leveraging these techniques, SAR systems can achieve improved operational efficiency, reduced data latency, and enhanced real-time capabilities. This article emphasizes the significance of onboard processing in meeting the growing demands of SAR applications and underscores its role in advancing remote sensing capabilities for various sectors, including environmental monitoring, disaster response, and surveillance.
format Article
id doaj-art-903695cfb30b4fef97d1489f33998a0b
institution DOAJ
issn 1939-1404
2151-1535
language English
publishDate 2024-01-01
publisher IEEE
record_format Article
series IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
spelling doaj-art-903695cfb30b4fef97d1489f33998a0b2025-08-20T02:52:56ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352024-01-0117166251664510.1109/JSTARS.2024.340615510547107Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time CapabilitiesLaura Parra Garcia0https://orcid.org/0009-0003-5414-4691Gianluca Furano1https://orcid.org/0000-0001-7624-1415Max Ghiglione2https://orcid.org/0000-0001-6208-0745Valentina Zancan3https://orcid.org/0009-0003-0737-2595Ernesto Imbembo4https://orcid.org/0000-0002-9033-6901Christos Ilioudis5https://orcid.org/0000-0002-7164-6461Carmine Clemente6https://orcid.org/0000-0002-6665-693XPaolo Trucco7https://orcid.org/0000-0002-0251-8538University of Strathclyde, Glasgow, U.K.European Space Agency, Paris, FranceEuropean Space Agency, Paris, FrancePolitecnico di Milano, Milano, ItalyEuropean Space Agency, Paris, FranceUniversity of Strathclyde, Glasgow, U.K.University of Strathclyde, Glasgow, U.K.Politecnico di Milano, Milano, ItalySatellite-borne synthetic aperture radar (SAR) technology has revolutionized remote sensing applications by providing high-resolution and all-weather imaging capabilities. With the increasing availability of SAR data, the need for efficient data processing has become crucial. Onboard processing has emerged as a promising solution to address the challenges associated with limited downlink capacity and final data products latency. Performing data processing and compression directly on the airborne platform reduces the raw data transmitted to ground stations, which offers several key benefits. First, it significantly reduces the data volume to be downlinked, optimizing the usage of limited bandwidth and minimizing transmission delays. Second, onboard processing enables faster access to processed data products, allowing for quicker decision-making and timely response to dynamic events, enhancing the real-time capabilities of the system that are particularly valuable in time-critical applications. This article discusses various onboard processing techniques employed in SAR systems and explores their challenges, like computational constraints, architectural impacts, power consumption, and algorithm optimization. Furthermore, it examines the potential future developments in onboard processing, such as the integration of artificial intelligence and machine learning techniques to enhance data analysis and decision-making capabilities. The advancements in onboard processing have the potential to revolutionize the way SAR missions are conducted. By leveraging these techniques, SAR systems can achieve improved operational efficiency, reduced data latency, and enhanced real-time capabilities. This article emphasizes the significance of onboard processing in meeting the growing demands of SAR applications and underscores its role in advancing remote sensing capabilities for various sectors, including environmental monitoring, disaster response, and surveillance.https://ieeexplore.ieee.org/document/10547107/Data compressionefficiencyimage formationonboard processingreal-time capabilitiesremote sensing
spellingShingle Laura Parra Garcia
Gianluca Furano
Max Ghiglione
Valentina Zancan
Ernesto Imbembo
Christos Ilioudis
Carmine Clemente
Paolo Trucco
Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Data compression
efficiency
image formation
onboard processing
real-time capabilities
remote sensing
title Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities
title_full Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities
title_fullStr Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities
title_full_unstemmed Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities
title_short Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities
title_sort advancements in onboard processing of synthetic aperture radar sar data enhancing efficiency and real time capabilities
topic Data compression
efficiency
image formation
onboard processing
real-time capabilities
remote sensing
url https://ieeexplore.ieee.org/document/10547107/
work_keys_str_mv AT lauraparragarcia advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities
AT gianlucafurano advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities
AT maxghiglione advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities
AT valentinazancan advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities
AT ernestoimbembo advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities
AT christosilioudis advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities
AT carmineclemente advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities
AT paolotrucco advancementsinonboardprocessingofsyntheticapertureradarsardataenhancingefficiencyandrealtimecapabilities