Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications
A general, approximate perturbation method, able to provide closed-form expressions of scattering from a layered structure with an arbitrary number of rough interfaces, has been recently developed. Such a method provides a unique tool for the characterization of radar response patterns of natural ro...
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ftdoajarticles:oai:doaj.org/article:68cd68541e5c48e0b05745d61e8b9df3 2023-05-15T18:18:26+02:00 Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications Pasquale Imperatore Antonio Iodice Daniele Riccio 2017-12-01T00:00:00Z https://doi.org/10.3390/s18010054 https://doaj.org/article/68cd68541e5c48e0b05745d61e8b9df3 EN eng MDPI AG https://www.mdpi.com/1424-8220/18/1/54 https://doaj.org/toc/1424-8220 1424-8220 doi:10.3390/s18010054 https://doaj.org/article/68cd68541e5c48e0b05745d61e8b9df3 Sensors, Vol 18, Iss 1, p 54 (2017) electromagnetic scattering layered media fractals remote sensing Chemical technology TP1-1185 article 2017 ftdoajarticles https://doi.org/10.3390/s18010054 2022-12-30T20:42:45Z A general, approximate perturbation method, able to provide closed-form expressions of scattering from a layered structure with an arbitrary number of rough interfaces, has been recently developed. Such a method provides a unique tool for the characterization of radar response patterns of natural rough multilayers. In order to show that, here, for the first time in a journal paper, we describe the application of the developed perturbation theory to fractal interfaces; we then employ the perturbative method solution to analyze the scattering from real-world layered structures of practical interest in remote sensing applications. We focus on the dependence of normalized radar cross section on geometrical and physical properties of the considered scenarios, and we choose two classes of natural stratifications: wet paleosoil covered by a low-loss dry sand layer and a sea-ice layer above water with dry snow cover. Results are in accordance with the experimental evidence available in the literature for the low-loss dry sand layer, and they may provide useful indications about the actual ability of remote sensing instruments to perform sub-surface sensing for different sensor and scene parameters. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Sensors 18 2 54 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
electromagnetic scattering layered media fractals remote sensing Chemical technology TP1-1185 |
spellingShingle |
electromagnetic scattering layered media fractals remote sensing Chemical technology TP1-1185 Pasquale Imperatore Antonio Iodice Daniele Riccio Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications |
topic_facet |
electromagnetic scattering layered media fractals remote sensing Chemical technology TP1-1185 |
description |
A general, approximate perturbation method, able to provide closed-form expressions of scattering from a layered structure with an arbitrary number of rough interfaces, has been recently developed. Such a method provides a unique tool for the characterization of radar response patterns of natural rough multilayers. In order to show that, here, for the first time in a journal paper, we describe the application of the developed perturbation theory to fractal interfaces; we then employ the perturbative method solution to analyze the scattering from real-world layered structures of practical interest in remote sensing applications. We focus on the dependence of normalized radar cross section on geometrical and physical properties of the considered scenarios, and we choose two classes of natural stratifications: wet paleosoil covered by a low-loss dry sand layer and a sea-ice layer above water with dry snow cover. Results are in accordance with the experimental evidence available in the literature for the low-loss dry sand layer, and they may provide useful indications about the actual ability of remote sensing instruments to perform sub-surface sensing for different sensor and scene parameters. |
format |
Article in Journal/Newspaper |
author |
Pasquale Imperatore Antonio Iodice Daniele Riccio |
author_facet |
Pasquale Imperatore Antonio Iodice Daniele Riccio |
author_sort |
Pasquale Imperatore |
title |
Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications |
title_short |
Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications |
title_full |
Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications |
title_fullStr |
Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications |
title_full_unstemmed |
Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications |
title_sort |
perturbation theory for scattering from multilayers with randomly rough fractal interfaces: remote sensing applications |
publisher |
MDPI AG |
publishDate |
2017 |
url |
https://doi.org/10.3390/s18010054 https://doaj.org/article/68cd68541e5c48e0b05745d61e8b9df3 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Sensors, Vol 18, Iss 1, p 54 (2017) |
op_relation |
https://www.mdpi.com/1424-8220/18/1/54 https://doaj.org/toc/1424-8220 1424-8220 doi:10.3390/s18010054 https://doaj.org/article/68cd68541e5c48e0b05745d61e8b9df3 |
op_doi |
https://doi.org/10.3390/s18010054 |
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Sensors |
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18 |
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2 |
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54 |
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1766195017323380736 |