Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images.
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| Title: | Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images. |
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| Authors: | Yanovsky, Igor1 igor.yanovsky@jpl.nasa.gov, Davis, Anthony B.1 |
| Source: | IEEE Transactions on Geoscience & Remote Sensing. May2015, Vol. 53 Issue 5, p2275-2285. 11p. |
| Subjects: | Cirrus clouds, Cumulus clouds, Multispectral imaging, Remote sensing, Image processing |
| Abstract: | We introduce a methodology for separating reflective layers of clouds in Earth remote sensing images. We propose a single-channel layer separation framework and extend it to multispectral layer separation. Efficient alternating minimization and fast operator-splitting methods are used to solve minimization problems. Specifically, we apply our methodology to separate strongly stratified and optically thin upper (cirrus) clouds from optically thick lower convective (cumulus) clouds in atmospheric imagery approximated as additive contributions to the observed signal. After setting up synthetic "truth" scenarios, we evaluate the accuracy of the two-layer separation results while varying the effective opaqueness of each of two types of cloud. We show that multispectral cloud layer separation is consistently more accurate than channel-by-channel cloud layer separation. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Geoscience & Remote Sensing is the property of IEEE 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 102838679 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yanovsky%2C+Igor%22">Yanovsky, Igor</searchLink><relatesTo>1</relatesTo><i> igor.yanovsky@jpl.nasa.gov</i><br /><searchLink fieldCode="AR" term="%22Davis%2C+Anthony+B%2E%22">Davis, Anthony B.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Geoscience+%26+Remote+Sensing%22">IEEE Transactions on Geoscience & Remote Sensing</searchLink>. May2015, Vol. 53 Issue 5, p2275-2285. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cirrus+clouds%22">Cirrus clouds</searchLink><br /><searchLink fieldCode="DE" term="%22Cumulus+clouds%22">Cumulus clouds</searchLink><br /><searchLink fieldCode="DE" term="%22Multispectral+imaging%22">Multispectral imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We introduce a methodology for separating reflective layers of clouds in Earth remote sensing images. We propose a single-channel layer separation framework and extend it to multispectral layer separation. Efficient alternating minimization and fast operator-splitting methods are used to solve minimization problems. Specifically, we apply our methodology to separate strongly stratified and optically thin upper (cirrus) clouds from optically thick lower convective (cumulus) clouds in atmospheric imagery approximated as additive contributions to the observed signal. After setting up synthetic "truth" scenarios, we evaluate the accuracy of the two-layer separation results while varying the effective opaqueness of each of two types of cloud. We show that multispectral cloud layer separation is consistently more accurate than channel-by-channel cloud layer separation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Geoscience & Remote Sensing is the property of IEEE 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: 10.1109/TGRS.2014.2352319 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2275 Subjects: – SubjectFull: Cirrus clouds Type: general – SubjectFull: Cumulus clouds Type: general – SubjectFull: Multispectral imaging Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Image processing Type: general Titles: – TitleFull: Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yanovsky, Igor – PersonEntity: Name: NameFull: Davis, Anthony B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 01962892 Numbering: – Type: volume Value: 53 – Type: issue Value: 5 Titles: – TitleFull: IEEE Transactions on Geoscience & Remote Sensing Type: main |
| ResultId | 1 |
