Academic Journal
Inversion of top of atmospheric reflectance values by conic multivariate adaptive regression splines.
| Τίτλος: | Inversion of top of atmospheric reflectance values by conic multivariate adaptive regression splines. |
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| Συγγραφείς: | Kuter, Semih, Weber, Gerhard-Wilhelm, Akyürek, Zuhal, Özmen, Ayşe |
| Πηγή: | Inverse Problems in Science & Engineering; Jun2015, Vol. 23 Issue 4, p651-669, 19p |
| Θεματικοί όροι: | Reflectance, Atmosphere, Multivariate analysis, Regression analysis, Remote-sensing images |
| Περίληψη: | Spatial technologies offer high flexibility to handle substantial amount of spatial data and wide range of modelling capabilities. Remotely sensed data are the most significant data source used in spatial technologies. However, it is often associated with uncertainties due to atmospheric effects (i.e. absorption and scattering by atmospheric gases and aerosols). Methods based on rigorous treatment of radiative transfer models still have some drawbacks in the inversion of top of atmospheric reflectance values to surface reflectance values on large numbers of satellite images. In this paper, our aim is to represent a more flexible (adaptive) approach for the regional atmospheric correction by employing nonparametric regression splines within the frame of inverse problems and modern techniques of continuous optimization. To achieve this objective, atmospheric correction models obtained through conic multivariate adaptive regression splines, which is an alternative method to multivariate adaptive regression splines by constructing a penalized residual sum of squares as a Tikhonov regularization problem, are applied on a set of satellite images in order to convert the top of atmospheric reflectance values into surface reflectance values. The results are compared with the ones obtained by both multivariate adaptive regression splines and a radiative transfer-based method. [ABSTRACT FROM PUBLISHER] |
| Copyright of Inverse Problems in Science & Engineering is the property of Taylor & Francis Ltd 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.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Inversion of top of atmospheric reflectance values by conic multivariate adaptive regression splines. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kuter%2C+Semih%22">Kuter, Semih</searchLink><br /><searchLink fieldCode="AR" term="%22Weber%2C+Gerhard-Wilhelm%22">Weber, Gerhard-Wilhelm</searchLink><br /><searchLink fieldCode="AR" term="%22Akyürek%2C+Zuhal%22">Akyürek, Zuhal</searchLink><br /><searchLink fieldCode="AR" term="%22Özmen%2C+Ayşe%22">Özmen, Ayşe</searchLink> – Name: TitleSource Label: Source Group: Src Data: Inverse Problems in Science & Engineering; Jun2015, Vol. 23 Issue 4, p651-669, 19p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Reflectance%22">Reflectance</searchLink><br /><searchLink fieldCode="DE" term="%22Atmosphere%22">Atmosphere</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Remote-sensing+images%22">Remote-sensing images</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Spatial technologies offer high flexibility to handle substantial amount of spatial data and wide range of modelling capabilities. Remotely sensed data are the most significant data source used in spatial technologies. However, it is often associated with uncertainties due to atmospheric effects (i.e. absorption and scattering by atmospheric gases and aerosols). Methods based on rigorous treatment of radiative transfer models still have some drawbacks in the inversion of top of atmospheric reflectance values to surface reflectance values on large numbers of satellite images. In this paper, our aim is to represent a more flexible (adaptive) approach for the regional atmospheric correction by employing nonparametric regression splines within the frame of inverse problems and modern techniques of continuous optimization. To achieve this objective, atmospheric correction models obtained through conic multivariate adaptive regression splines, which is an alternative method to multivariate adaptive regression splines by constructing a penalized residual sum of squares as a Tikhonov regularization problem, are applied on a set of satellite images in order to convert the top of atmospheric reflectance values into surface reflectance values. The results are compared with the ones obtained by both multivariate adaptive regression splines and a radiative transfer-based method. [ABSTRACT FROM PUBLISHER] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Inverse Problems in Science & Engineering is the property of Taylor & Francis Ltd 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/17415977.2014.933828 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 651 Subjects: – SubjectFull: Reflectance Type: general – SubjectFull: Atmosphere Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Remote-sensing images Type: general Titles: – TitleFull: Inversion of top of atmospheric reflectance values by conic multivariate adaptive regression splines. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kuter, Semih – PersonEntity: Name: NameFull: Weber, Gerhard-Wilhelm – PersonEntity: Name: NameFull: Akyürek, Zuhal – PersonEntity: Name: NameFull: Özmen, Ayşe IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 17415977 Numbering: – Type: volume Value: 23 – Type: issue Value: 4 Titles: – TitleFull: Inverse Problems in Science & Engineering Type: main |
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