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  • PSF on downscaling continua_final

    Rights statement: This is the author’s version of a work that was accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ISPRS Journal of Photogrammetry and Remote Sensing, 168, 2020 DOI: 10.1016/j.isprsjprs.2020.08.016

    Accepted author manuscript, 3.11 MB, PDF document

    Embargo ends: 31/08/21

    Available under license: CC BY-NC-ND

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The effect of the point spread function on downscaling continua

Research output: Contribution to journalJournal articlepeer-review

Published
<mark>Journal publication date</mark>1/10/2020
<mark>Journal</mark>ISPRS Journal of Photogrammetry and Remote Sensing
Volume168
Number of pages17
Pages (from-to)251-267
Publication StatusPublished
Early online date31/08/20
<mark>Original language</mark>English

Abstract

The point spread function (PSF) is ubiquitous in remote sensing. This paper investigated the effect of the PSF on the downscaling of continua. Geostatistical approaches were adopted to incorporate explicitly, and reduce the influence of, the PSF effect in downscaling. Two general cases were considered: univariate and multivariate. In the univariate case, the input coarse spatial resolution image is the only image available for downscaling. Area-to-point kriging was demonstrated to be a suitable solution in this case. For the multivariate case, a finer spatial resolution image (or images) observed under different conditions (e.g., at a different wavelength) is available as auxiliary data for downscaling. Area-to-point regression kriging was shown to be a suitable solution for this case. Moreover, a new solution was developed for estimating the PSF in image scale transformation. The experiments show that the PSF effect influences downscaling greatly and that downscaling can be enhanced obviously by considering the PSF effect through the geostatistical approaches and the PSF estimation solution proposed.

Bibliographic note

This is the author’s version of a work that was accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in ISPRS Journal of Photogrammetry and Remote Sensing, 168, 2020 DOI: 10.1016/j.isprsjprs.2020.08.016