View in EDS HTML Full Text PDF Full Text

Suppression of Parasitic Peaks on CFOSAT SWIM Wave Spectra Based on a Specific Parametric Method.

Saved in:
Bibliographic Details
Title: Suppression of Parasitic Peaks on CFOSAT SWIM Wave Spectra Based on a Specific Parametric Method.
Authors: Gu, Jingwei1,2,3,4 (AUTHOR), Jiang, Bosen2,5 (AUTHOR), Li, Xiuzhong1,2,3,4 (AUTHOR), He, Yijun1,2,3,4 (AUTHOR) yjhe@nuist.edu.cn, Liu, Baochang1,2,4,5 (AUTHOR), Lang, Shuyan6 (AUTHOR)
Source: Remote Sensing. Jan2026, Vol. 18 Issue 1, p77. 19p.
Subjects: Waves (Physics), Surface waves (Fluids), Spectrum analysis, Frequency spectra, Wave mechanics, Noise, Parameter estimation, Statistical accuracy
Abstract: Highlights: What are the main findings? A specific parametric method is proposed to suppress parasitic peaks in CFOSAT SWIM two-dimensional wave spectra. What is the implication of the main finding? After applying the proposed method, parasitic peaks in the low wavenumber regions in SWIM wave spectra are suppressed while wave information in SWIM wave spectra are preserved. The accuracy of the wave parameters of SWIM data are also enhanced. Parasitic peaks are observed in the low wavenumber regions of Surface Waves Investigation and Monitoring (SWIM) wave height spectra. They can be attributed to random fluctuations in the wave spectra caused mainly by speckle noise, compromising the quality of SWIM wave spectra, or can be attributed to a lack of homogeneity over the SWIM footprint. Some recent studies have proposed methods to suppress parasitic peaks: unfortunately, they are intended only for one-dimensional wave spectra, or they lack validation of the quality of wave spectra. In this study, a specific parametric method is proposed to suppress parasitic peaks in two-dimensional wave spectra in order to solve these problems. The parametrized wave spectra are derived by integrating multiple empirical spectra with directional functions, and a cost function is formulated to identify the most suitable parametrized wave spectrum. Subsequently, the quality and wave parameters of the most suitable parametrized wave spectrum are derived. It should be pointed out that the parametric method relies on the wave products provided by SWIM for empirical spectral fitting, so it cannot solve the 180° ambiguity problem. The results show that the specific parametric method effectively suppresses parasitic peaks in the low wavenumber regions while preserving wave information in SWIM wave height spectra. Additionally, the specific parametric method enhances the accuracy of the wave parameters of SWIM data, including significant wave height, dominant wavelength, and dominant wave direction. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 190787297
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Suppression of Parasitic Peaks on CFOSAT SWIM Wave Spectra Based on a Specific Parametric Method.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Gu%2C+Jingwei%22">Gu, Jingwei</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Bosen%22">Jiang, Bosen</searchLink><relatesTo>2,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Xiuzhong%22">Li, Xiuzhong</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Yijun%22">He, Yijun</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<i> yjhe@nuist.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Baochang%22">Liu, Baochang</searchLink><relatesTo>1,2,4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lang%2C+Shuyan%22">Lang, Shuyan</searchLink><relatesTo>6</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jan2026, Vol. 18 Issue 1, p77. 19p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Waves+%28Physics%29%22">Waves (Physics)</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+waves+%28Fluids%29%22">Surface waves (Fluids)</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+spectra%22">Frequency spectra</searchLink><br /><searchLink fieldCode="DE" term="%22Wave+mechanics%22">Wave mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+accuracy%22">Statistical accuracy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? A specific parametric method is proposed to suppress parasitic peaks in CFOSAT SWIM two-dimensional wave spectra. What is the implication of the main finding? After applying the proposed method, parasitic peaks in the low wavenumber regions in SWIM wave spectra are suppressed while wave information in SWIM wave spectra are preserved. The accuracy of the wave parameters of SWIM data are also enhanced. Parasitic peaks are observed in the low wavenumber regions of Surface Waves Investigation and Monitoring (SWIM) wave height spectra. They can be attributed to random fluctuations in the wave spectra caused mainly by speckle noise, compromising the quality of SWIM wave spectra, or can be attributed to a lack of homogeneity over the SWIM footprint. Some recent studies have proposed methods to suppress parasitic peaks: unfortunately, they are intended only for one-dimensional wave spectra, or they lack validation of the quality of wave spectra. In this study, a specific parametric method is proposed to suppress parasitic peaks in two-dimensional wave spectra in order to solve these problems. The parametrized wave spectra are derived by integrating multiple empirical spectra with directional functions, and a cost function is formulated to identify the most suitable parametrized wave spectrum. Subsequently, the quality and wave parameters of the most suitable parametrized wave spectrum are derived. It should be pointed out that the parametric method relies on the wave products provided by SWIM for empirical spectral fitting, so it cannot solve the 180° ambiguity problem. The results show that the specific parametric method effectively suppresses parasitic peaks in the low wavenumber regions while preserving wave information in SWIM wave height spectra. Additionally, the specific parametric method enhances the accuracy of the wave parameters of SWIM data, including significant wave height, dominant wavelength, and dominant wave direction. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190787297
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs18010077
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 77
    Subjects:
      – SubjectFull: Waves (Physics)
        Type: general
      – SubjectFull: Surface waves (Fluids)
        Type: general
      – SubjectFull: Spectrum analysis
        Type: general
      – SubjectFull: Frequency spectra
        Type: general
      – SubjectFull: Wave mechanics
        Type: general
      – SubjectFull: Noise
        Type: general
      – SubjectFull: Parameter estimation
        Type: general
      – SubjectFull: Statistical accuracy
        Type: general
    Titles:
      – TitleFull: Suppression of Parasitic Peaks on CFOSAT SWIM Wave Spectra Based on a Specific Parametric Method.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gu, Jingwei
      – PersonEntity:
          Name:
            NameFull: Jiang, Bosen
      – PersonEntity:
          Name:
            NameFull: Li, Xiuzhong
      – PersonEntity:
          Name:
            NameFull: He, Yijun
      – PersonEntity:
          Name:
            NameFull: Liu, Baochang
      – PersonEntity:
          Name:
            NameFull: Lang, Shuyan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1