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Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends

Ground moving target imaging finds its main applications in both military and homeland security applications, with examples in operations of intelligence, surveillance and reconnaissance (ISR) as well as border surveillance. When such an operation is performed from the air looking down towards the g...

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Detalles Bibliográficos
Autores principales: Martorella, Marco, Gelli, Samuele, Bacci, Alessio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036600/
https://www.ncbi.nlm.nih.gov/pubmed/33808244
http://dx.doi.org/10.3390/s21072391
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author Martorella, Marco
Gelli, Samuele
Bacci, Alessio
author_facet Martorella, Marco
Gelli, Samuele
Bacci, Alessio
author_sort Martorella, Marco
collection PubMed
description Ground moving target imaging finds its main applications in both military and homeland security applications, with examples in operations of intelligence, surveillance and reconnaissance (ISR) as well as border surveillance. When such an operation is performed from the air looking down towards the ground, the clutter return may be comparable or even stronger than the target’s, making the latter hard to be detected and imaged. In order to solve this problem, multichannel radar systems are used that are able to remove the ground clutter and effectively detect and image moving targets. In this feature paper, the latest findings in the area of Ground Moving Target Imaging are revisited that see the joint application of Space-Time Adaptive Processing and Inverse Synthetic Aperture Radar Imaging. The theoretical aspects analysed in this paper are supported by practical evidence and followed by application-oriented discussions.
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spelling pubmed-80366002021-04-12 Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends Martorella, Marco Gelli, Samuele Bacci, Alessio Sensors (Basel) Review Ground moving target imaging finds its main applications in both military and homeland security applications, with examples in operations of intelligence, surveillance and reconnaissance (ISR) as well as border surveillance. When such an operation is performed from the air looking down towards the ground, the clutter return may be comparable or even stronger than the target’s, making the latter hard to be detected and imaged. In order to solve this problem, multichannel radar systems are used that are able to remove the ground clutter and effectively detect and image moving targets. In this feature paper, the latest findings in the area of Ground Moving Target Imaging are revisited that see the joint application of Space-Time Adaptive Processing and Inverse Synthetic Aperture Radar Imaging. The theoretical aspects analysed in this paper are supported by practical evidence and followed by application-oriented discussions. MDPI 2021-03-30 /pmc/articles/PMC8036600/ /pubmed/33808244 http://dx.doi.org/10.3390/s21072391 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Martorella, Marco
Gelli, Samuele
Bacci, Alessio
Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends
title Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends
title_full Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends
title_fullStr Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends
title_full_unstemmed Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends
title_short Ground Moving Target Imaging via SDAP-ISAR Processing: Review and New Trends
title_sort ground moving target imaging via sdap-isar processing: review and new trends
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036600/
https://www.ncbi.nlm.nih.gov/pubmed/33808244
http://dx.doi.org/10.3390/s21072391
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