Abstract
Sentinel-2 (S2) is a constellation of two satellites that frequently acquire optical imagery over land and coastal waters. The S2 sensors have three spatial resolutions: 10, 20, and 60 m. Many remote sensing applications require the spatial resolution to be at the highest resolution, i.e., 10 m for S2. To address this demand, researchers have proposed various methods that exploit the spectral and spatial correlation in multispectral data to sharpen the S2 bands to 10 m. In this paper, we fuse S2 data with high-resolution aerial RGB images. A method called S2Sharp is modified to include the red, green, and blue bands of the aerial image and sharpen S2 data to the resolution of the RGB image. The method, termed S2PF, is evaluated using an S2 image and aerial photographs of Reykjavik, Iceland.
Original language | English |
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Pages | 4444-4447 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 |
Conference
Conference | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 |
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Country/Territory | Belgium |
City | Brussels |
Period | 12/07/21 → 16/07/21 |
Bibliographical note
Funding Information:This work was supported in part by the Icelandic Research Fund under grant 207233-051 and in part by the University of Iceland Research Fund.
Publisher Copyright:
© 2021 IEEE
Other keywords
- Data fusion
- Image sharpening
- RGB images
- Sentinel-2 (S2) constellation
- Superresolution