@inproceedings{be697e1594dd44ab8b264d51a71e26fe,
title = "A low-rank method for sentinel-2 sharpening using cyclic descent",
abstract = "Multiresolution optical remote sensing systems often have a spatial resolution that varies between bands. An example is the Sentinel-2 (S2) constellation which has three levels of spatial resolution 10m, 20m, and 60m. Recently, researchers have exploited the spectral/spatial correlation inherent in multispectral data to sharpen the lower resolution S2 bands. In this paper, we propose a low-rank method that formulates the sharpening process as a solution to a cost function. We develop an iterative algorithm based on cyclic descent and call it S2Sharp-CD. We evaluate the method on a simulated dataset and compare it to a state-of-the-art approach.",
keywords = "Cyclic descent, Data fusion, Image processing, Sentinel-2 constellation, Superresolution",
author = "Ulfarsson, \{M. O.\} and \{Dalla Mura\}, M.",
note = "Funding Information: This work was partly supported by the Research Fund of the University of Iceland and by a grant from Labex OSUG@2020 (Investissements dav-enir ANR10 LABX56), from the Programme National de Tldtection Spatiale (PNTS), grant n. PNTS-2016-03. Publisher Copyright: {\textcopyright} 2018 IEEE.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/IGARSS.2018.8519256",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8857--8860",
booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",
address = "United States",
}