Sharpening the VNIR and SWIR Bands of Sentinel-2A Imagery through Modified Selected and Synthesized Band Schemes.
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| Title: | Sharpening the VNIR and SWIR Bands of Sentinel-2A Imagery through Modified Selected and Synthesized Band Schemes. |
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| Authors: | Honglyun Park1 knights111@chungbuk.ac.kr, Jaewan Choi1 jaewanchoi@chungbuk.ac.kr, Nyunghee Park1 memorial66@chungbuk.ac.kr, Seokkeun Choi1 skchoi@chungbuk.ac.kr |
| Source: | Remote Sensing. Oct2017, Vol. 9 Issue 10, p1080. 20p. |
| Subjects: | Near infrared spectroscopy, Multiresolution time-domain method, Regression analysis, Remote-sensing images, Spectral imaging |
| Abstract: | In this work, the bands of a Sentinel-2A image with spatial resolutions of 20 m and 60 m are sharpened to a spatial resolution of 10 m to obtain visible and near-infrared (VNIR) and shortwave infrared (SWIR) spectral bands with a spatial resolution of 10 m. In particular, we propose a two-step sharpening algorithm for Sentinel-2A imagery based on modified, selected, and synthesized band schemes using layer-stacked bands to sharpen Sentinel-2A images. The modified selected and synthesized band schemes proposed in this study extend the existing band schemes for sharpening Sentinel-2A images with spatial resolutions of 20 m and 60 m to improve the pan-sharpening accuracy by changing the combinations of bands used for multiple linear regression analysis through band-layer stacking. The proposed algorithms are applied to the pan-sharpening algorithm based on component substitution (CS) and a multiresolution analysis (MRA), and our results are then compared to the sharpening results when using sharpening algorithms based on existing band schemes. The experimental results show that the sharpening results from the proposed algorithm are improved in terms of the spatial and spectral properties when compared to existing methods. However, the results of the sharpening algorithm when applied to our modified band schemes show differing tendencies. With the modified, selected band scheme, the sharpening result when applying the CS-based algorithm is higher than the result when applying the MRA-based algorithm. However, the quality of the sharpening results when using the MRA-based algorithm with the modified synthesized band scheme is higher than that when using the CS-based algorithm. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 125901111 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sharpening the VNIR and SWIR Bands of Sentinel-2A Imagery through Modified Selected and Synthesized Band Schemes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Honglyun+Park%22">Honglyun Park</searchLink><relatesTo>1</relatesTo><i> knights111@chungbuk.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Jaewan+Choi%22">Jaewan Choi</searchLink><relatesTo>1</relatesTo><i> jaewanchoi@chungbuk.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Nyunghee+Park%22">Nyunghee Park</searchLink><relatesTo>1</relatesTo><i> memorial66@chungbuk.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Seokkeun+Choi%22">Seokkeun Choi</searchLink><relatesTo>1</relatesTo><i> skchoi@chungbuk.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Oct2017, Vol. 9 Issue 10, p1080. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Near+infrared+spectroscopy%22">Near infrared spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Multiresolution+time-domain+method%22">Multiresolution time-domain method</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><br /><searchLink fieldCode="DE" term="%22Spectral+imaging%22">Spectral imaging</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this work, the bands of a Sentinel-2A image with spatial resolutions of 20 m and 60 m are sharpened to a spatial resolution of 10 m to obtain visible and near-infrared (VNIR) and shortwave infrared (SWIR) spectral bands with a spatial resolution of 10 m. In particular, we propose a two-step sharpening algorithm for Sentinel-2A imagery based on modified, selected, and synthesized band schemes using layer-stacked bands to sharpen Sentinel-2A images. The modified selected and synthesized band schemes proposed in this study extend the existing band schemes for sharpening Sentinel-2A images with spatial resolutions of 20 m and 60 m to improve the pan-sharpening accuracy by changing the combinations of bands used for multiple linear regression analysis through band-layer stacking. The proposed algorithms are applied to the pan-sharpening algorithm based on component substitution (CS) and a multiresolution analysis (MRA), and our results are then compared to the sharpening results when using sharpening algorithms based on existing band schemes. The experimental results show that the sharpening results from the proposed algorithm are improved in terms of the spatial and spectral properties when compared to existing methods. However, the results of the sharpening algorithm when applied to our modified band schemes show differing tendencies. With the modified, selected band scheme, the sharpening result when applying the CS-based algorithm is higher than the result when applying the MRA-based algorithm. However, the quality of the sharpening results when using the MRA-based algorithm with the modified synthesized band scheme is higher than that when using the CS-based algorithm. [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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs9101080 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1080 Subjects: – SubjectFull: Near infrared spectroscopy Type: general – SubjectFull: Multiresolution time-domain method Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Remote-sensing images Type: general – SubjectFull: Spectral imaging Type: general Titles: – TitleFull: Sharpening the VNIR and SWIR Bands of Sentinel-2A Imagery through Modified Selected and Synthesized Band Schemes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Honglyun Park – PersonEntity: Name: NameFull: Jaewan Choi – PersonEntity: Name: NameFull: Nyunghee Park – PersonEntity: Name: NameFull: Seokkeun Choi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 9 – Type: issue Value: 10 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
