SEN23E: A Cloudless Geo-Referenced Multi-Spectral Sentinel-2/Sentinel-3 Dataset for Data Fusion Analysis
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Scholar |
Altres documents de l'autoria: Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Pla, Filiberto
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http://dx.doi.org/10.1109/IGARSS46834.2022.9883867 |
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Títol
SEN23E: A Cloudless Geo-Referenced Multi-Spectral Sentinel-2/Sentinel-3 Dataset for Data Fusion AnalysisData de publicació
2022-07Editor
IEEEISBN
9781665427920Cita bibliogràfica
D. Ibañez, R. Fernandez-Beltran and F. Pla, "SEN23E: A Cloudless Geo-Referenced Multi-Spectral Sentinel-2/Sentinel-3 Dataset for Data Fusion Analysis," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 1448-1451, doi: 10.1109/IGARSS46834.2022.9883867.Tipus de document
info:eu-repo/semantics/conferenceObjectVersió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
The availability of geo-referenced coupled data of dif-ferent platforms is essential to train remote sensing (RS) multi-modal classification and bio-phyiscal parameter esti-mation learning methods. To properly develop ... [+]
The availability of geo-referenced coupled data of dif-ferent platforms is essential to train remote sensing (RS) multi-modal classification and bio-phyiscal parameter esti-mation learning methods. To properly develop a general-izing model different scenes and topographies are required. For this purpose, different multi-modal datasets have been published for the last years. Nevertheless, to our knowl-edge there is not any dataset composed of Sentinel-2 (S2) and Sentinel-3 (S3) geo-referenced images. In this paper we present SEN23, a dataset composed of 100 complete multi-spectral S2 and S3 paired images of different locations along Europe from the 2021 summer. The coupled images were obtained with a time difference of three or less days, containing less than a 1 % of cloud coverage and have a resolution difference of × 15. SEN23E is expected to help with the development of new multi-spectral, multi-resolution and multi-modal models for complex tasks which need con-text and complete images. SEN23E will be available at https://github.com/ibanezdf/SEN23E. [-]
Descripció
Ponència presentada en el IEEE International Symposium on Geoscience and Remote Sensing (IGARSS 2022)
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IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium , 17-22 July 2022Drets d'accés
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