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Resolutional Analysis of Multiplicative High-Frequency Speckle Noise Based on SAR Spatial De-Speckling Filter Implementation and Selection

Cited 5 time in wos
Cited 5 time in scopus

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dc.contributor.authorShahrezaei, Iman Heidarpour-
dc.contributor.authorKim, Hyun-cheol-
dc.date.accessioned2020-04-27T05:57:05Z-
dc.date.available2020-04-27T05:57:05Z-
dc.date.issued2019-05-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/10543-
dc.description.abstractDue to the inherent characteristics of the electromagnetic wave scattering phenomenon, synthetic aperture radar (SAR) images are directly degraded by high-frequency multiplicative speckle (HMS) noise, which makes image de-speckling filter application and selection a challenge. In this regard, an adverse effects analysis of the HMS under implementation of seven different spatial de-speckling filters on a reference SAR image is considered in this paper. The investigation includes the formulation of the backscattered data and the HMS based on the pixel statistics and their distribution as an image noise behavioral analysis method. The resulting complex behavioral model is used for HMS power spectral density (PSD) function modeling. This paper also includes HMS system resolution effects analysis on the raw data generation (RDG) and the received frequency profile (RFP). An objective quality assessment procedure was also carried out to investigate both the de-speckled image resolution and the spatial filter evaluation in the presence of the HMS. As a result, the simulations verify that speckles are embedded within the high-frequency parts of the raw data, directly affecting the spatial resolution and the image resolution with non-specific patterns. The results also show that no spatial de-speckling filter consistently outperforms others, and their implementation is completely dependent on the texture, the system parameters, and their evaluation index. As a novel approach, HMS spectral behavioral modeling within the filtered images, as well as the proposed spatial de-speckling filter evaluation methods, are the proper techniques for optimum filter selection and specific purpose applications. The results are very helpful for remote sensing image restoration and data preservation when dealing with SAR images with a less fine resolution, such as ice-covered areas, coastal change detection, vegetation texture detection, geological structures mapping, and so forth. The SAR system resolution analysis is completed based on inversed problem solution (IPS) and with the help of a hybrid-domain image formation algorithm (IFA).en_US
dc.formatapplication/pdf-
dc.languageEnglish-
dc.language.isoenen_US
dc.subjectRemote Sensingen_US
dc.subject.classification해당사항없음en_US
dc.titleResolutional Analysis of Multiplicative High-Frequency Speckle Noise Based on SAR Spatial De-Speckling Filter Implementation and Selectionen_US
dc.title.alternativeSAR 공간 스펙클 제거 필터 구현 및 선택을 기반으로 하는 고주파 스펙클 잡음의 분해능 분석en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationShahrezaei, Iman Heidarpour, Kim, Hyun-cheol. 2019. "Resolutional Analysis of Multiplicative High-Frequency Speckle Noise Based on SAR Spatial De-Speckling Filter Implementation and Selection". <em>REMOTE SENSING</em>, 11(9): 1041-1065.-
dc.citation.titleREMOTE SENSINGen_US
dc.citation.volume11en_US
dc.citation.number9en_US
dc.identifier.doi10.3390/rs11091041-
dc.citation.startPage1041en_US
dc.citation.endPage1065en_US
dc.description.articleClassificationSCIE-
dc.description.jcrRateJCR 2017:26.667en_US
dc.subject.keywordradar spatial resolutionen_US
dc.subject.keywordraw data generationen_US
dc.subject.keywordspatial de-speckling filteren_US
dc.subject.keywordspeckle noiseen_US
dc.subject.keywordsynthetic aperture radaren_US
dc.identifier.localId2019-0075-
dc.identifier.scopusid2-s2.0-85065719839-
dc.identifier.wosid000469763600049-
Appears in Collections  
2019-2019, Research on analytical technique for satellite observation of Arctic sea ice (19-19) / Kim, Hyun-cheol (PE19120)
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