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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

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The effect of the point spread function on downscaling continua

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The effect of the point spread function on downscaling continua. / Wang, Q.; Tang, Y.; Atkinson, P.M.

In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 168, 01.10.2020, p. 251-267.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wang, Q, Tang, Y & Atkinson, PM 2020, 'The effect of the point spread function on downscaling continua', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 168, pp. 251-267. https://doi.org/10.1016/j.isprsjprs.2020.08.016

APA

Vancouver

Wang Q, Tang Y, Atkinson PM. The effect of the point spread function on downscaling continua. ISPRS Journal of Photogrammetry and Remote Sensing. 2020 Oct 1;168:251-267. Epub 2020 Aug 31. doi: 10.1016/j.isprsjprs.2020.08.016

Author

Wang, Q. ; Tang, Y. ; Atkinson, P.M. / The effect of the point spread function on downscaling continua. In: ISPRS Journal of Photogrammetry and Remote Sensing. 2020 ; Vol. 168. pp. 251-267.

Bibtex

@article{79b43c17503a4a2aa048918f29c77c88,
title = "The effect of the point spread function on downscaling continua",
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.",
keywords = "Downscaling, Geostatistics, Image fusion, Point spread function (PSF), Remote sensing, Image resolution, Interpolation, Area to point kriging, Auxiliary data, Down-scaling, Geostatistical approach, PSF estimation, Regression-kriging, Spatial resolution images, Suitable solutions, Optical transfer function, data assimilation, downscaling, image analysis, kriging, multivariate analysis, remote sensing, satellite imagery, spatial resolution",
author = "Q. Wang and Y. Tang and P.M. Atkinson",
note = "This is the author{\textquoteright}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",
year = "2020",
month = oct,
day = "1",
doi = "10.1016/j.isprsjprs.2020.08.016",
language = "English",
volume = "168",
pages = "251--267",
journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
issn = "0924-2716",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - The effect of the point spread function on downscaling continua

AU - Wang, Q.

AU - Tang, Y.

AU - Atkinson, P.M.

N1 - 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

PY - 2020/10/1

Y1 - 2020/10/1

N2 - 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.

AB - 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.

KW - Downscaling

KW - Geostatistics

KW - Image fusion

KW - Point spread function (PSF)

KW - Remote sensing

KW - Image resolution

KW - Interpolation

KW - Area to point kriging

KW - Auxiliary data

KW - Down-scaling

KW - Geostatistical approach

KW - PSF estimation

KW - Regression-kriging

KW - Spatial resolution images

KW - Suitable solutions

KW - Optical transfer function

KW - data assimilation

KW - downscaling

KW - image analysis

KW - kriging

KW - multivariate analysis

KW - remote sensing

KW - satellite imagery

KW - spatial resolution

U2 - 10.1016/j.isprsjprs.2020.08.016

DO - 10.1016/j.isprsjprs.2020.08.016

M3 - Journal article

VL - 168

SP - 251

EP - 267

JO - ISPRS Journal of Photogrammetry and Remote Sensing

JF - ISPRS Journal of Photogrammetry and Remote Sensing

SN - 0924-2716

ER -