Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342

Mikolaj Czerkawski; Priti Upadhyay; Christopher Davison; Astrid Werkmeister; Javier Cardona; Robert Atkinson; Craig Michie; Ivan Andonovic; Malcolm Macdonald; Christos Tachtatzis

doi:10.3390/rs14246324

Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342

Mikolaj Czerkawski^*, Priti Upadhyay, Christopher Davison, Astrid Werkmeister, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Malcolm Macdonald, Christos Tachtatzis

^*Corresponding author for this work

Electronic And Electrical Engineering

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Abstract

Following the publication of the article [1], it was discovered that the computation of the inpainting Structural Similarity Index (SSIM) metric value was incorrect. However, the relationship between method performances remains unchanged upon correction and all of the conclusions made in the original manuscript still stand.

Original language	English
Article number	6324
Number of pages	4
Journal	Remote Sensing
Volume	14
Issue number	24
Early online date	14 Dec 2022
DOIs	https://doi.org/10.3390/rs14246324
Publication status	E-pub ahead of print - 14 Dec 2022

Keywords

cloud removal
sentinel 1
sentinel 2
deep image prior
internal learning
image inpainting

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10.3390/rs14246324Licence: CC BY 4.0

Czerkawski-etal-RS-2022-Correction-Czerkawski-etal-Deep-internal-learningFinal published version, 40.5 MBLicence: CC BY 4.0

1 Article

Deep internal learning for inpainting of cloud-affected regions in satellite imagery
Czerkawski, M., Upadhyay, P., Davison, C., Werkmeister, A., Cardona, J., Atkinson, R., Michie, C., Andonovic, I., Macdonald, M. & Tachtatzis, C., 10 Mar 2022, In: Remote Sensing. 14, 6, 18 p., 1342.
Research output: Contribution to journal › Article › peer-review

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Czerkawski, M., Upadhyay, P., Davison, C., Werkmeister, A., Cardona, J., Atkinson, R., Michie, C., Andonovic, I., Macdonald, M., & Tachtatzis, C. (2022). Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342. Remote Sensing, 14(24), Article 6324. Advance online publication. https://doi.org/10.3390/rs14246324

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title = "Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342",

abstract = "Following the publication of the article [1], it was discovered that the computation of the inpainting Structural Similarity Index (SSIM) metric value was incorrect. However, the relationship between method performances remains unchanged upon correction and all of the conclusions made in the original manuscript still stand.",

keywords = "cloud removal, sentinel 1, sentinel 2, deep image prior, internal learning, image inpainting",

author = "Mikolaj Czerkawski and Priti Upadhyay and Christopher Davison and Astrid Werkmeister and Javier Cardona and Robert Atkinson and Craig Michie and Ivan Andonovic and Malcolm Macdonald and Christos Tachtatzis",

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T1 - Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342

AU - Czerkawski, Mikolaj

AU - Upadhyay, Priti

AU - Davison, Christopher

AU - Werkmeister, Astrid

AU - Cardona, Javier

AU - Atkinson, Robert

AU - Michie, Craig

AU - Andonovic, Ivan

AU - Macdonald, Malcolm

AU - Tachtatzis, Christos

PY - 2022/12/14

Y1 - 2022/12/14

N2 - Following the publication of the article [1], it was discovered that the computation of the inpainting Structural Similarity Index (SSIM) metric value was incorrect. However, the relationship between method performances remains unchanged upon correction and all of the conclusions made in the original manuscript still stand.

AB - Following the publication of the article [1], it was discovered that the computation of the inpainting Structural Similarity Index (SSIM) metric value was incorrect. However, the relationship between method performances remains unchanged upon correction and all of the conclusions made in the original manuscript still stand.

KW - cloud removal

KW - sentinel 1

KW - sentinel 2

KW - deep image prior

KW - internal learning

KW - image inpainting

U2 - 10.3390/rs14246324

DO - 10.3390/rs14246324

M3 - Comment/debate

SN - 2072-4292

VL - 14

JO - Remote Sensing

JF - Remote Sensing

IS - 24

M1 - 6324

ER -

Correction: Czerkawski et al. Deep internal learning for inpainting of cloud-affected regions in satellite umagery. Remote Sens. 2022, 14, 1342

Abstract

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Research output

Deep internal learning for inpainting of cloud-affected regions in satellite imagery

Cite this