Sentinel-2 sharpening using a reduced-rank method

Magnus O. Ulfarsson; Frosti Palsson; Mauro Dalla Mura; Johannes R. Sveinsson

doi:10.1109/TGRS.2019.2906048

Sentinel-2 sharpening using a reduced-rank method

Magnus O. Ulfarsson
, Frosti Palsson
, Mauro Dalla Mura
, Johannes R. Sveinsson

Faculty of Electrical and Computer Engineering

University of Iceland

Research output: Contribution to journal › Article › peer-review

Abstract

Recently, the Sentinel-2 (S2) satellite constellation was deployed for mapping and monitoring the Earth environment. Images acquired by the sensors mounted on the S2 platforms have three levels of spatial resolution: 10, 20, and 60 m. In many remote sensing applications, the availability of images at the highest spatial resolution (i.e., 10 m for S2) is often desirable. This can be achieved by generating a synthetic high-resolution image through data fusion. To this end, researchers have proposed techniques exploiting the spectral/spatial correlation inherent in multispectral data to sharpen the lower resolution S2 bands to 10 m. In this paper, we propose a novel method that formulates the sharpening process as a solution to an inverse problem. We develop a cyclic descent algorithm called S2Sharp and an associated tuning parameter selection algorithm based on generalized cross validation and Bayesian optimization. The tuning parameter selection method is evaluated on a simulated data set. The effectiveness of S2Sharp is assessed experimentally by comparisons to state-of-the-art methods using both simulated and real data sets.

Original language	English
Article number	8694937
Pages (from-to)	6408-6420
Number of pages	13
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	57
Issue number	9
DOIs	https://doi.org/10.1109/TGRS.2019.2906048
Publication status	Published - Sept 2019

Bibliographical note

Funding Information: Manuscript received November 23, 2018; revised January 20, 2019 and February 21, 2019; accepted March 15, 2019. Date of publication April 22, 2019; date of current version August 27, 2019. This work was supported in part by the Research Fund of the University of Iceland, in part by the Icelandic Research Fund under Grant 174075-05, in part by Labex OSUG@2020 (Investissements d’avenir ANR10 LABX56) and the Programme National de Teledetection Spatiale (PNTS) under Grant PNTS-2016-03. (Corresponding author: Magnus O. Ulfarsson.) M. O. Ulfarsson, F. Palsson, and J. R. Sveinsson are with the Faculty of Electrical and Computer Engineering, University of Iceland, 101 Reykjavik, Iceland (e-mail: [email protected]; [email protected]; [email protected]). Publisher Copyright: © 1980-2012 IEEE.

Other keywords

Cyclic descent (CD)
Sentinel-2 (S2) constellation
data fusion
image sharpening
superresolution

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10.1109/TGRS.2019.2906048

Cite this

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title = "Sentinel-2 sharpening using a reduced-rank method",

abstract = "Recently, the Sentinel-2 (S2) satellite constellation was deployed for mapping and monitoring the Earth environment. Images acquired by the sensors mounted on the S2 platforms have three levels of spatial resolution: 10, 20, and 60 m. In many remote sensing applications, the availability of images at the highest spatial resolution (i.e., 10 m for S2) is often desirable. This can be achieved by generating a synthetic high-resolution image through data fusion. To this end, researchers have proposed techniques exploiting the spectral/spatial correlation inherent in multispectral data to sharpen the lower resolution S2 bands to 10 m. In this paper, we propose a novel method that formulates the sharpening process as a solution to an inverse problem. We develop a cyclic descent algorithm called S2Sharp and an associated tuning parameter selection algorithm based on generalized cross validation and Bayesian optimization. The tuning parameter selection method is evaluated on a simulated data set. The effectiveness of S2Sharp is assessed experimentally by comparisons to state-of-the-art methods using both simulated and real data sets.",

keywords = "Cyclic descent (CD), Sentinel-2 (S2) constellation, data fusion, image sharpening, superresolution",

author = "Ulfarsson, \{Magnus O.\} and Frosti Palsson and \{Dalla Mura\}, Mauro and Sveinsson, \{Johannes R.\}",

note = "Funding Information: Manuscript received November 23, 2018; revised January 20, 2019 and February 21, 2019; accepted March 15, 2019. Date of publication April 22, 2019; date of current version August 27, 2019. This work was supported in part by the Research Fund of the University of Iceland, in part by the Icelandic Research Fund under Grant 174075-05, in part by Labex OSUG@2020 (Investissements d{\textquoteright}avenir ANR10 LABX56) and the Programme National de Teledetection Spatiale (PNTS) under Grant PNTS-2016-03. (Corresponding author: Magnus O. Ulfarsson.) M. O. Ulfarsson, F. Palsson, and J. R. Sveinsson are with the Faculty of Electrical and Computer Engineering, University of Iceland, 101 Reykjavik, Iceland (e-mail: [email protected]; [email protected]; [email protected]). Publisher Copyright: {\textcopyright} 1980-2012 IEEE.",

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ER -

Sentinel-2 sharpening using a reduced-rank method

Abstract

Bibliographical note

Other keywords

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