Model-Based Reduced-Rank Pansharpening

Frosti Palsson; Magnus O. Ulfarsson; Johannes R. Sveinsson

doi:10.1109/LGRS.2019.2926681

Model-Based Reduced-Rank Pansharpening

Frosti Palsson, Magnus O. Ulfarsson, Johannes R. Sveinsson^*

^*Corresponding author for this work

Faculty of Electrical and Computer Engineering

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

5 Citations (Scopus)

Abstract

Observation of the Earth using satellites mounted with optical sensors is an important application of remote sensing. Owing to physical constraints, multispectral (MS) sensors acquire images of lower spatial resolution than a single-band panchromatic (PAN) sensor that acquires images of the same scene. Pansharpening fuses the MS and PAN images to obtain an MS image with the same spatial resolution as the PAN image. In this letter, we propose to expand a method, initially developed for Sentinel-2 single-sensor sharpening, for pansharpening. The expanded method is based on solving a non-convex MS acquisition model using optimization methods based on cyclic decent and manifold optimization. The tuning parameters of the method are chosen using Bayesian optimization with reduced-scale evaluation. The proposed method is compared with a number of established pansharpening methods and is validated using both synthetic and real data sets.

Original language	English
Article number	8778736
Pages (from-to)	656-660
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	17
Issue number	4
DOIs	https://doi.org/10.1109/LGRS.2019.2926681
Publication status	Published - Apr 2020

Bibliographical note

Funding Information:
Manuscript received April 18, 2019; revised June 6, 2019; accepted July 1, 2019. Date of publication July 29, 2019; date of current version March 25, 2020. This work was supported in part by the Icelandic Research Fund under Grant 174075-05 and in part by the Research Fund of the University of Iceland. (Corresponding author: Johannes R. Sveinsson.) The authors are with the Faculty of Electrical and Computer Engineering, University of Iceland, 107 Reykjavik, Iceland (e-mail: [email protected]). This letter has supplementary downloadable material available at http://ieeexplore.ieee.org, provided by the author. Color versions of one or more of the figures in this letter are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/LGRS.2019.2926681

Publisher Copyright:
© 2004-2012 IEEE.

Other keywords

Cyclic descent
data fusion
image fusion
pansharpening

Access to Document

10.1109/LGRS.2019.2926681

Cite this

@article{6247f00bdf904d379654bba918797e63,

title = "Model-Based Reduced-Rank Pansharpening",

abstract = "Observation of the Earth using satellites mounted with optical sensors is an important application of remote sensing. Owing to physical constraints, multispectral (MS) sensors acquire images of lower spatial resolution than a single-band panchromatic (PAN) sensor that acquires images of the same scene. Pansharpening fuses the MS and PAN images to obtain an MS image with the same spatial resolution as the PAN image. In this letter, we propose to expand a method, initially developed for Sentinel-2 single-sensor sharpening, for pansharpening. The expanded method is based on solving a non-convex MS acquisition model using optimization methods based on cyclic decent and manifold optimization. The tuning parameters of the method are chosen using Bayesian optimization with reduced-scale evaluation. The proposed method is compared with a number of established pansharpening methods and is validated using both synthetic and real data sets.",

keywords = "Cyclic descent, data fusion, image fusion, pansharpening",

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

note = "Funding Information: Manuscript received April 18, 2019; revised June 6, 2019; accepted July 1, 2019. Date of publication July 29, 2019; date of current version March 25, 2020. This work was supported in part by the Icelandic Research Fund under Grant 174075-05 and in part by the Research Fund of the University of Iceland. (Corresponding author: Johannes R. Sveinsson.) The authors are with the Faculty of Electrical and Computer Engineering, University of Iceland, 107 Reykjavik, Iceland (e-mail: [email protected]). This letter has supplementary downloadable material available at http://ieeexplore.ieee.org, provided by the author. Color versions of one or more of the figures in this letter are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/LGRS.2019.2926681 Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

year = "2020",

month = apr,

doi = "10.1109/LGRS.2019.2926681",

language = "English",

volume = "17",

pages = "656--660",

journal = "IEEE Geoscience and Remote Sensing Letters",

issn = "1545-598X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - Model-Based Reduced-Rank Pansharpening

AU - Palsson, Frosti

AU - Ulfarsson, Magnus O.

AU - Sveinsson, Johannes R.

N1 - Funding Information: Manuscript received April 18, 2019; revised June 6, 2019; accepted July 1, 2019. Date of publication July 29, 2019; date of current version March 25, 2020. This work was supported in part by the Icelandic Research Fund under Grant 174075-05 and in part by the Research Fund of the University of Iceland. (Corresponding author: Johannes R. Sveinsson.) The authors are with the Faculty of Electrical and Computer Engineering, University of Iceland, 107 Reykjavik, Iceland (e-mail: [email protected]). This letter has supplementary downloadable material available at http://ieeexplore.ieee.org, provided by the author. Color versions of one or more of the figures in this letter are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/LGRS.2019.2926681 Publisher Copyright: © 2004-2012 IEEE.

PY - 2020/4

Y1 - 2020/4

N2 - Observation of the Earth using satellites mounted with optical sensors is an important application of remote sensing. Owing to physical constraints, multispectral (MS) sensors acquire images of lower spatial resolution than a single-band panchromatic (PAN) sensor that acquires images of the same scene. Pansharpening fuses the MS and PAN images to obtain an MS image with the same spatial resolution as the PAN image. In this letter, we propose to expand a method, initially developed for Sentinel-2 single-sensor sharpening, for pansharpening. The expanded method is based on solving a non-convex MS acquisition model using optimization methods based on cyclic decent and manifold optimization. The tuning parameters of the method are chosen using Bayesian optimization with reduced-scale evaluation. The proposed method is compared with a number of established pansharpening methods and is validated using both synthetic and real data sets.

AB - Observation of the Earth using satellites mounted with optical sensors is an important application of remote sensing. Owing to physical constraints, multispectral (MS) sensors acquire images of lower spatial resolution than a single-band panchromatic (PAN) sensor that acquires images of the same scene. Pansharpening fuses the MS and PAN images to obtain an MS image with the same spatial resolution as the PAN image. In this letter, we propose to expand a method, initially developed for Sentinel-2 single-sensor sharpening, for pansharpening. The expanded method is based on solving a non-convex MS acquisition model using optimization methods based on cyclic decent and manifold optimization. The tuning parameters of the method are chosen using Bayesian optimization with reduced-scale evaluation. The proposed method is compared with a number of established pansharpening methods and is validated using both synthetic and real data sets.

KW - Cyclic descent

KW - data fusion

KW - image fusion

KW - pansharpening

UR - http://www.scopus.com/inward/record.url?scp=85082885172&partnerID=8YFLogxK

U2 - 10.1109/LGRS.2019.2926681

DO - 10.1109/LGRS.2019.2926681

M3 - Article

AN - SCOPUS:85082885172

SN - 1545-598X

VL - 17

SP - 656

EP - 660

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

IS - 4

M1 - 8778736

ER -

Model-Based Reduced-Rank Pansharpening

Abstract

Bibliographical note

Other keywords

Access to Document

Fingerprint

Cite this