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Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems
In this paper, we present a hardware and software platform for signal processing (SPP) in long-range, multi-spectral, electro-optical systems (MSEOS). Such systems integrate various cameras such as lowlight color, medium or long-wave-infrared thermal and short-wave-infrared cameras together with oth...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840751/ https://www.ncbi.nlm.nih.gov/pubmed/35162038 http://dx.doi.org/10.3390/s22031294 |
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author | Latinović, Nikola Popadić, Ilija Tomić, Branko Simić, Aleksandar Milanović, Petar Nijemčević, Srećko Perić, Miroslav Veinović, Mladen |
author_facet | Latinović, Nikola Popadić, Ilija Tomić, Branko Simić, Aleksandar Milanović, Petar Nijemčević, Srećko Perić, Miroslav Veinović, Mladen |
author_sort | Latinović, Nikola |
collection | PubMed |
description | In this paper, we present a hardware and software platform for signal processing (SPP) in long-range, multi-spectral, electro-optical systems (MSEOS). Such systems integrate various cameras such as lowlight color, medium or long-wave-infrared thermal and short-wave-infrared cameras together with other sensors such as laser range finders, radars, GPS receivers, etc. on rotational pan-tilt positioner platforms. An SPP is designed with the main goal to control all components of an MSEOS and execute complex signal processing algorithms such as video stabilization, artificial intelligence-based target detection, target tracking, video enhancement, target illumination, multi-sensory image fusion, etc. Such algorithms might be very computationally demanding, so an SPP enables them to run by splitting processing tasks between a field-programmable gate array (FPGA) unit, a multicore microprocessor (MCuP) and a graphic processing unit (GPU). Additionally, multiple SPPs can be linked together via an internal Gbps Ethernet-based network to balance the processing load. A detailed description of the SPP system and experimental results of workloads for typical algorithms on demonstrational MSEOS are given. Finally, we give remarks regarding upgrading SPPs as novel FPGAs, MCuPs and GPUs become available. |
format | Online Article Text |
id | pubmed-8840751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88407512022-02-13 Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems Latinović, Nikola Popadić, Ilija Tomić, Branko Simić, Aleksandar Milanović, Petar Nijemčević, Srećko Perić, Miroslav Veinović, Mladen Sensors (Basel) Article In this paper, we present a hardware and software platform for signal processing (SPP) in long-range, multi-spectral, electro-optical systems (MSEOS). Such systems integrate various cameras such as lowlight color, medium or long-wave-infrared thermal and short-wave-infrared cameras together with other sensors such as laser range finders, radars, GPS receivers, etc. on rotational pan-tilt positioner platforms. An SPP is designed with the main goal to control all components of an MSEOS and execute complex signal processing algorithms such as video stabilization, artificial intelligence-based target detection, target tracking, video enhancement, target illumination, multi-sensory image fusion, etc. Such algorithms might be very computationally demanding, so an SPP enables them to run by splitting processing tasks between a field-programmable gate array (FPGA) unit, a multicore microprocessor (MCuP) and a graphic processing unit (GPU). Additionally, multiple SPPs can be linked together via an internal Gbps Ethernet-based network to balance the processing load. A detailed description of the SPP system and experimental results of workloads for typical algorithms on demonstrational MSEOS are given. Finally, we give remarks regarding upgrading SPPs as novel FPGAs, MCuPs and GPUs become available. MDPI 2022-02-08 /pmc/articles/PMC8840751/ /pubmed/35162038 http://dx.doi.org/10.3390/s22031294 Text en © 2022 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 | Article Latinović, Nikola Popadić, Ilija Tomić, Branko Simić, Aleksandar Milanović, Petar Nijemčević, Srećko Perić, Miroslav Veinović, Mladen Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems |
title | Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems |
title_full | Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems |
title_fullStr | Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems |
title_full_unstemmed | Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems |
title_short | Signal Processing Platform for Long-Range Multi-Spectral Electro-Optical Systems |
title_sort | signal processing platform for long-range multi-spectral electro-optical systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840751/ https://www.ncbi.nlm.nih.gov/pubmed/35162038 http://dx.doi.org/10.3390/s22031294 |
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