MSPB: intelligent SAR despeckling using wavelet thresholding and bilateral filter for big visual radar data restoration and provisioning quality of experience in real-time remote sensing.
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| Title: | MSPB: intelligent SAR despeckling using wavelet thresholding and bilateral filter for big visual radar data restoration and provisioning quality of experience in real-time remote sensing. |
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| Authors: | Singh, Prabhishek1 (AUTHOR) prabhisheksingh88@gmail.com, Shankar, Achyut1 (AUTHOR) ashankar2711@gmail.com, Diwakar, Manoj2 (AUTHOR) manoj.diwakar@gmail.com, Khosravi, Mohammad R.3 (AUTHOR) m.r.khosravi.taut@gmail.com |
| Source: | Environment, Development & Sustainability. Oct2025, Vol. 27 Issue 10, p24751-24781. 31p. |
| Subject Terms: | *Synthetic aperture radar, *Remote sensing, *User experience, *Image processing, *Noise control, *Speckle interference, *Image quality analysis, *Adaptive filters |
| Abstract: | The main reason behind degradation in Synthetic Aperture Radar (SAR) images is speckle noise which is a critical barrier of enhancing Quality of Experience (QoE) in remote sensing of environment. Speckle noise is multiplicative and behaves as a kind of granular pattern which is more an artifact such that a scattering phenomenon inherently exists in the SAR images. The SAR image despeckling is a technique to suppress the noise and preserve the edges (high-frequency information). This article presents a new Method noise wavelet thresholding-based SAR image despeckling using Pixel neighborhood and Bilateral filter (MSPB) for noise suppression and artifact reduction. In the proposed method, MSPB, wavelet-based thresholding is performed using an intelligent Bayesian thresholding rule followed by the method noise thresholding. The experimental outcomes of the MSPB are visually analyzed over the speckled SAR images. The despeckling results are compared to some conventional and some of the latest despeckling methods in the research topic. The despeckling process is also analyzed by image quality assessment (IQA) metrics including no-reference (e.g., ENL) and similarity-based objective (e.g., SNR) and subjective (e.g., SSIM) metrics to measure the quality of performance. The simulation results on some SAR image big datasets show that MSPB is efficient for offline and real-time applications. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 188478579 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: MSPB: intelligent SAR despeckling using wavelet thresholding and bilateral filter for big visual radar data restoration and provisioning quality of experience in real-time remote sensing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Singh%2C+Prabhishek%22">Singh, Prabhishek</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> prabhisheksingh88@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Shankar%2C+Achyut%22">Shankar, Achyut</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ashankar2711@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Diwakar%2C+Manoj%22">Diwakar, Manoj</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> manoj.diwakar@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Khosravi%2C+Mohammad+R%2E%22">Khosravi, Mohammad R.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> m.r.khosravi.taut@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Oct2025, Vol. 27 Issue 10, p24751-24781. 31p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Synthetic+aperture+radar%22">Synthetic aperture radar</searchLink><br />*<searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br />*<searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br />*<searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br />*<searchLink fieldCode="DE" term="%22Noise+control%22">Noise control</searchLink><br />*<searchLink fieldCode="DE" term="%22Speckle+interference%22">Speckle interference</searchLink><br />*<searchLink fieldCode="DE" term="%22Image+quality+analysis%22">Image quality analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Adaptive+filters%22">Adaptive filters</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The main reason behind degradation in Synthetic Aperture Radar (SAR) images is speckle noise which is a critical barrier of enhancing Quality of Experience (QoE) in remote sensing of environment. Speckle noise is multiplicative and behaves as a kind of granular pattern which is more an artifact such that a scattering phenomenon inherently exists in the SAR images. The SAR image despeckling is a technique to suppress the noise and preserve the edges (high-frequency information). This article presents a new Method noise wavelet thresholding-based SAR image despeckling using Pixel neighborhood and Bilateral filter (MSPB) for noise suppression and artifact reduction. In the proposed method, MSPB, wavelet-based thresholding is performed using an intelligent Bayesian thresholding rule followed by the method noise thresholding. The experimental outcomes of the MSPB are visually analyzed over the speckled SAR images. The despeckling results are compared to some conventional and some of the latest despeckling methods in the research topic. The despeckling process is also analyzed by image quality assessment (IQA) metrics including no-reference (e.g., ENL) and similarity-based objective (e.g., SNR) and subjective (e.g., SSIM) metrics to measure the quality of performance. The simulation results on some SAR image big datasets show that MSPB is efficient for offline and real-time applications. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=188478579 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-022-02395-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 24751 Subjects: – SubjectFull: Synthetic aperture radar Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: User experience Type: general – SubjectFull: Image processing Type: general – SubjectFull: Noise control Type: general – SubjectFull: Speckle interference Type: general – SubjectFull: Image quality analysis Type: general – SubjectFull: Adaptive filters Type: general Titles: – TitleFull: MSPB: intelligent SAR despeckling using wavelet thresholding and bilateral filter for big visual radar data restoration and provisioning quality of experience in real-time remote sensing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singh, Prabhishek – PersonEntity: Name: NameFull: Shankar, Achyut – PersonEntity: Name: NameFull: Diwakar, Manoj – PersonEntity: Name: NameFull: Khosravi, Mohammad R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 27 – Type: issue Value: 10 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
| ResultId | 1 |
