Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges
This article presents nonlinear radar signal processing method to form an image of the Earth's surface. The method proposes to match the dynamic ranges of the received signal and of the visualization device. The essence of the method is adaptive nonlinear signal processing, which provides bette...
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International Journal of Mathematical, Engineering and Management Sciences
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doaj-45b13a203d8f4d84940d8391fdab44462020-11-25T02:43:26ZengInternational Journal of Mathematical, Engineering and Management SciencesInternational Journal of Mathematical, Engineering and Management Sciences2455-77492455-77492019-12-014614481458Adaptive Matching of the Radar Signal and Image Display Device Dynamic RangesVitaliy Garmash0Yuriy Petrov1Andrey Andreev2Anatoly Zaitsev3Department of Radio Electronic Systems, Baltic State Technical University «VOENMEH», St. Petersburg, 190005, RussiaDepartment of Radio Electronic Systems, Baltic State Technical University «VOENMEH», St. Petersburg, 190005, RussiaDepartment of Technosphere Safety, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, 195220, RussiaDepartment of Technosphere Safety, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, 195220, RussiaThis article presents nonlinear radar signal processing method to form an image of the Earth's surface. The method proposes to match the dynamic ranges of the received signal and of the visualization device. The essence of the method is adaptive nonlinear signal processing, which provides better local contrast of radar images and improves discrimination of individual objects. The computational complexity of the proposed algorithm is optimized and allows real-time implementation in the airborne computing systems with limited computational power. Objects with large RCS merged into large illuminated "spots"; their visibility on the surrounding background has been reduced, unwanted effects are due to the fact that the above algorithms have a single point effect. To overcome the problems, the «Retinex» algorithm is usually used. They do not take into account the local neighborhood of pixels; therefore, in cases where the image contains both highly dark and strongly light local areas, these algorithms cannot provide high-quality matching of dynamic ranges.https://www.ijmems.in/assets//114-IJMEMS-18-Y15-Vol.%204,%20No.%206,%201448%E2%80%931458,%202019.pdfRadar signalRadar cross-sectionDigital image processingNonlinear processingAdaptive contrasting |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vitaliy Garmash Yuriy Petrov Andrey Andreev Anatoly Zaitsev |
spellingShingle |
Vitaliy Garmash Yuriy Petrov Andrey Andreev Anatoly Zaitsev Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges International Journal of Mathematical, Engineering and Management Sciences Radar signal Radar cross-section Digital image processing Nonlinear processing Adaptive contrasting |
author_facet |
Vitaliy Garmash Yuriy Petrov Andrey Andreev Anatoly Zaitsev |
author_sort |
Vitaliy Garmash |
title |
Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges |
title_short |
Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges |
title_full |
Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges |
title_fullStr |
Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges |
title_full_unstemmed |
Adaptive Matching of the Radar Signal and Image Display Device Dynamic Ranges |
title_sort |
adaptive matching of the radar signal and image display device dynamic ranges |
publisher |
International Journal of Mathematical, Engineering and Management Sciences |
series |
International Journal of Mathematical, Engineering and Management Sciences |
issn |
2455-7749 2455-7749 |
publishDate |
2019-12-01 |
description |
This article presents nonlinear radar signal processing method to form an image of the Earth's surface. The method proposes to match the dynamic ranges of the received signal and of the visualization device. The essence of the method is adaptive nonlinear signal processing, which provides better local contrast of radar images and improves discrimination of individual objects. The computational complexity of the proposed algorithm is optimized and allows real-time implementation in the airborne computing systems with limited computational power. Objects with large RCS merged into large illuminated "spots"; their visibility on the surrounding background has been reduced, unwanted effects are due to the fact that the above algorithms have a single point effect. To overcome the problems, the «Retinex» algorithm is usually used. They do not take into account the local neighborhood of pixels; therefore, in cases where the image contains both highly dark and strongly light local areas, these algorithms cannot provide high-quality matching of dynamic ranges. |
topic |
Radar signal Radar cross-section Digital image processing Nonlinear processing Adaptive contrasting |
url |
https://www.ijmems.in/assets//114-IJMEMS-18-Y15-Vol.%204,%20No.%206,%201448%E2%80%931458,%202019.pdf |
work_keys_str_mv |
AT vitaliygarmash adaptivematchingoftheradarsignalandimagedisplaydevicedynamicranges AT yuriypetrov adaptivematchingoftheradarsignalandimagedisplaydevicedynamicranges AT andreyandreev adaptivematchingoftheradarsignalandimagedisplaydevicedynamicranges AT anatolyzaitsev adaptivematchingoftheradarsignalandimagedisplaydevicedynamicranges |
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1724769419684478976 |