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A Novel SAR Fractal Roughness Modeling of Complex Random Polar Media and Textural Synthesis Based on a Numerical Scattering Distribution Function Processing

Cited 3 time in wos
Cited 4 time in scopus

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dc.contributor.authorShahrezaei, Iman Heidarpour-
dc.contributor.authorKim, Hyun-Cheol-
dc.date.accessioned2022-07-07T00:54:53Z-
dc.date.available2022-07-07T00:54:53Z-
dc.date.issued2021-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/13556-
dc.description.abstractIn this paper, complex random polar media (CRPM) are synthesized by a forward numerical modeling based on the fractal statistical properties of the marginal ice zone (MIZ) in terms of its energy balance under sea state conditions. The proposed modeling was carried out by the parallel processing of a modified JONSWAP directional spectrum function in a 2D hybrid domain. As a novel approach, the scattering formulation has been modified in the form of a two-scale implementation, which is optimized by the product of cosine-power and Gamma PDF. As a result, a composite model of CRPM under different sea state conditions, including wind speed and direction, has been made possible. Due to the high dynamics of CRPM under sea state conditions, the presence of high entropy samples in the form of random roughness fluctuations is inevitable. These highly textured areas not only reduce the ability to resolve fine details but also make the interpretation difficult from a remote sensing point of view. According to the importance of synthetic aperture radar (SAR) in the observation of MIZ and analysis of scattering properties, the spectral distribution modeling of these roughness anomalies and their electromagnetic interactions, along with surface tension synthesis, are presented here. Meanwhile, several objective quality metrics under different sea state conditions have been derived. The results show that the sea state not only changes the spectral components, but also affects their contribution to the roughness fluctuations and texture compositions. In short, this is for the first time that the composite modeling of CRPM based on directional spectrum function under sea state conditions along with electromagnetic interactions investigation and its pertinent texture analysis has been done.en_US
dc.languageEnglishen_US
dc.language.isoenen_US
dc.subjectEngineeringen_US
dc.subjectPhysical Geographyen_US
dc.subjectRemote Sensingen_US
dc.subjectImaging Science & Photographic Technologyen_US
dc.subject.classification해당사항없음en_US
dc.titleA Novel SAR Fractal Roughness Modeling of Complex Random Polar Media and Textural Synthesis Based on a Numerical Scattering Distribution Function Processingen_US
dc.title.alternative임의의 극지 환경 및 텍스쳐 분석을 위한 수치산란분포함수 처리 기반 새로운 SAR 프랙탈 거칠기 모델링en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationShahrezaei, Iman Heidarpour, Kim, Hyun-Cheol. 2021. "A Novel SAR Fractal Roughness Modeling of Complex Random Polar Media and Textural Synthesis Based on a Numerical Scattering Distribution Function Processing". <em>IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING</em>, 14: 7386-7409.-
dc.citation.titleIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSINGen_US
dc.citation.volume14en_US
dc.identifier.doi10.1109/JSTARS.2021.3084822-
dc.citation.startPage7386en_US
dc.citation.endPage7409en_US
dc.description.articleClassificationSCIE-
dc.description.jcrRateJCR 2019:16en_US
dc.subject.keywordAnalytical modelsen_US
dc.subject.keywordSea surfaceen_US
dc.subject.keywordFluctuationsen_US
dc.subject.keywordComputational modelingen_US
dc.subject.keywordWind speeden_US
dc.subject.keywordSea stateen_US
dc.subject.keywordParallel processingen_US
dc.subject.keywordComposite directional spectrum functionen_US
dc.subject.keywordnumerical modelingen_US
dc.subject.keywordroughnessen_US
dc.subject.keywordsynthetic aperture radar (SAR)en_US
dc.subject.keywordsea stateen_US
dc.identifier.localId2021-0110-
dc.identifier.scopusid2-s2.0-85107211276-
dc.identifier.wosid000681156300010-
Appears in Collections  
2021-2021, Study on remote sensing for quantitative analysis of changes in the Arctic cryosphere (21-21) / Kim, Hyun-cheol (PE21040)
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