Model-Based Reduced-Rank Pansharpening

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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 languageEnglish
Article number8778736
Pages (from-to)656-660
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number4
Publication statusPublished - 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: This letter has supplementary downloadable material available at, provided by the author. Color versions of one or more of the figures in this letter are available online at Digital Object Identifier 10.1109/LGRS.2019.2926681

Publisher Copyright:
© 2004-2012 IEEE.

Other keywords

  • Cyclic descent
  • data fusion
  • image fusion
  • pansharpening


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