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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Published in:Sensors
Main Authors: Pasquale Imperatore, Antonio Iodice, Daniele Riccio
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2017
Subjects:
Online Access:https://doi.org/10.3390/s18010054
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spelling ftmdpi:oai:mdpi.com:/1424-8220/18/1/54/ 2023-08-20T04:09:45+02:00 Perturbation Theory for Scattering from Multilayers with Randomly Rough Fractal Interfaces: Remote Sensing Applications Pasquale Imperatore Antonio Iodice Daniele Riccio 2017-12-27 application/pdf https://doi.org/10.3390/s18010054 EN eng Multidisciplinary Digital Publishing Institute Remote Sensors https://dx.doi.org/10.3390/s18010054 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 18; Issue 1; Pages: 54 electromagnetic scattering layered media fractals remote sensing Text 2017 ftmdpi https://doi.org/10.3390/s18010054 2023-07-31T21:19:47Z 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. Text Sea ice MDPI Open Access Publishing Sensors 18 2 54
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic electromagnetic scattering
layered media
fractals
remote sensing
spellingShingle electromagnetic scattering
layered media
fractals
remote sensing
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2017
url https://doi.org/10.3390/s18010054
genre Sea ice
genre_facet Sea ice
op_source Sensors; Volume 18; Issue 1; Pages: 54
op_relation Remote Sensors
https://dx.doi.org/10.3390/s18010054
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/s18010054
container_title Sensors
container_volume 18
container_issue 2
container_start_page 54
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