PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data
This article deals with the problem of improving the spatial resolution of hyperspectral (HS) data from the PRecursore IperSpettrale della Missione Applicativa (PRISMA) mission. For this purpose, higher spatial resolution data from the Sentinel-2 (S2) mission are exploited. Particularly, 10 S2 bands...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9633196/ |
| _version_ | 1819320541336567808 |
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| author | Nicola Acito Marco Diani Giovanni Corsini |
| author_facet | Nicola Acito Marco Diani Giovanni Corsini |
| author_sort | Nicola Acito |
| collection | DOAJ |
| description | This article deals with the problem of improving the spatial resolution of hyperspectral (HS) data from the PRecursore IperSpettrale della Missione Applicativa (PRISMA) mission. For this purpose, higher spatial resolution data from the Sentinel-2 (S2) mission are exploited. Particularly, 10 S2 bands at 10 and 20 m spatial resolution are used to accomplish the PRISMA super-resolution (SR) task. The article presents a new end-to-end procedure, called PRISMA-SR, that starting from the S2 data and the low-resolution PRISMA image, provides a super-resolved image with a spatial resolution of 10 m and the same spectral resolution as the PRISMA HS sensor. The first step of the PRISMA-SR procedure consists in fusing S2 data at different spatial resolutions to obtain a synthetic MS image with 10 m spatial resolution and 10 spectral bands. Then, an unsupervised procedure is applied to coregister the fused S2 image and the PRISMA image. Finally, the two images at different spatial resolutions are properly combined in order to obtain the super-resolved HS image. Solutions for each step of the PRISMA-SR processing chain are proposed and discussed. Simulated data are used to show the effectiveness of the PRISMA-SR scheme and to investigate the impact on its performance of each step of the processing chain. Real S2 and PRISMA images are finally considered to provide an example of the application of the PRISMA-SR. |
| first_indexed | 2024-12-24T11:21:13Z |
| format | Article |
| id | doaj.art-d7da76e2d13f4c3f8f9f2da470ec66c2 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-24T11:21:13Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-d7da76e2d13f4c3f8f9f2da470ec66c22022-12-21T16:58:14ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352022-01-0115627910.1109/JSTARS.2021.31321359633196PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 DataNicola Acito0https://orcid.org/0000-0003-1984-7992Marco Diani1https://orcid.org/0000-0003-1520-1991Giovanni Corsini2https://orcid.org/0000-0002-9366-2470Department of Information Engineering, University of Pisa, Pisa, ItalyAccademia Navale, Livorno, ItalyDepartment of Information Engineering, University of Pisa, Pisa, ItalyThis article deals with the problem of improving the spatial resolution of hyperspectral (HS) data from the PRecursore IperSpettrale della Missione Applicativa (PRISMA) mission. For this purpose, higher spatial resolution data from the Sentinel-2 (S2) mission are exploited. Particularly, 10 S2 bands at 10 and 20 m spatial resolution are used to accomplish the PRISMA super-resolution (SR) task. The article presents a new end-to-end procedure, called PRISMA-SR, that starting from the S2 data and the low-resolution PRISMA image, provides a super-resolved image with a spatial resolution of 10 m and the same spectral resolution as the PRISMA HS sensor. The first step of the PRISMA-SR procedure consists in fusing S2 data at different spatial resolutions to obtain a synthetic MS image with 10 m spatial resolution and 10 spectral bands. Then, an unsupervised procedure is applied to coregister the fused S2 image and the PRISMA image. Finally, the two images at different spatial resolutions are properly combined in order to obtain the super-resolved HS image. Solutions for each step of the PRISMA-SR processing chain are proposed and discussed. Simulated data are used to show the effectiveness of the PRISMA-SR scheme and to investigate the impact on its performance of each step of the processing chain. Real S2 and PRISMA images are finally considered to provide an example of the application of the PRISMA-SR.https://ieeexplore.ieee.org/document/9633196/Hyperspectral (HS) data processinghyperspectral (HS)-multispectral (MS) data fusionsatellite missions |
| spellingShingle | Nicola Acito Marco Diani Giovanni Corsini PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Hyperspectral (HS) data processing hyperspectral (HS)-multispectral (MS) data fusion satellite missions |
| title | PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data |
| title_full | PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data |
| title_fullStr | PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data |
| title_full_unstemmed | PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data |
| title_short | PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data |
| title_sort | prisma spatial resolution enhancement by fusion with sentinel 2 data |
| topic | Hyperspectral (HS) data processing hyperspectral (HS)-multispectral (MS) data fusion satellite missions |
| url | https://ieeexplore.ieee.org/document/9633196/ |
| work_keys_str_mv | AT nicolaacito prismaspatialresolutionenhancementbyfusionwithsentinel2data AT marcodiani prismaspatialresolutionenhancementbyfusionwithsentinel2data AT giovannicorsini prismaspatialresolutionenhancementbyfusionwithsentinel2data |