MISC

2019年9月

Sentinel-2 sharpening using a reduced-rank method

IEEE Transactions on Geoscience and Remote Sensing
  • Magnus O. Ulfarsson
  • ,
  • Frosti Palsson
  • ,
  • Mauro Dalla Mura
  • ,
  • Johannes R. Sveinsson

57
9
開始ページ
6408
終了ページ
6420
DOI
10.1109/TGRS.2019.2906048
出版者・発行元
Institute of Electrical and Electronics Engineers ({IEEE})

© 1980-2012 IEEE. 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.

リンク情報
DOI
https://doi.org/10.1109/TGRS.2019.2906048
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072023379&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85072023379&origin=inward

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