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Remote Sensing
Volume 13
Issue 12
10.3390/rs13122269
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Article

Super-Resolution Restoration of Spaceborne Ultra-High-Resolution Images Using the UCL OpTiGAN System

by
Yu Tao
* and
Jan-Peter Muller
Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St Mary, Surrey RH5 6NT, UK
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(12), 2269; https://doi.org/10.3390/rs13122269
Submission received: 29 April 2021 / Revised: 2 June 2021 / Accepted: 8 June 2021 / Published: 10 June 2021
(This article belongs to the Special Issue Satellite Image Processing and Applications)
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Abstract

We introduce a robust and light-weight multi-image super-resolution restoration (SRR) method and processing system, called OpTiGAN, using a combination of a multi-image maximum a posteriori approach and a deep learning approach. We show the advantages of using a combined two-stage SRR processing scheme for significantly reducing inference artefacts and improving effective resolution in comparison to other SRR techniques. We demonstrate the optimality of OpTiGAN for SRR of ultra-high-resolution satellite images and video frames from 31 cm/pixel WorldView-3, 75 cm/pixel Deimos-2 and 70 cm/pixel SkySat. Detailed qualitative and quantitative assessments are provided for the SRR results on a CEOS-WGCV-IVOS geo-calibration and validation site at Baotou, China, which features artificial permanent optical targets. Our measurements have shown a 3.69 times enhancement of effective resolution from 31 cm/pixel WorldView-3 imagery to 9 cm/pixel SRR.
Keywords: super-resolution restoration; OpTiGAN; generative adversarial network; ultra-high resolution; satellite; remote sensing; earth observation; HD video; Maxar® WorldView-3; EarthDaily Analytics®; Deimos-2; Planet® SkySat super-resolution restoration; OpTiGAN; generative adversarial network; ultra-high resolution; satellite; remote sensing; earth observation; HD video; Maxar® WorldView-3; EarthDaily Analytics®; Deimos-2; Planet® SkySat

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MDPI and ACS Style

Tao, Y.; Muller, J.-P. Super-Resolution Restoration of Spaceborne Ultra-High-Resolution Images Using the UCL OpTiGAN System. Remote Sens. 2021, 13, 2269. https://doi.org/10.3390/rs13122269

AMA Style

Tao Y, Muller J-P. Super-Resolution Restoration of Spaceborne Ultra-High-Resolution Images Using the UCL OpTiGAN System. Remote Sensing. 2021; 13(12):2269. https://doi.org/10.3390/rs13122269

Chicago/Turabian Style

Tao, Yu, and Jan-Peter Muller. 2021. "Super-Resolution Restoration of Spaceborne Ultra-High-Resolution Images Using the UCL OpTiGAN System" Remote Sensing 13, no. 12: 2269. https://doi.org/10.3390/rs13122269

APA Style

Tao, Y., & Muller, J.-P. (2021). Super-Resolution Restoration of Spaceborne Ultra-High-Resolution Images Using the UCL OpTiGAN System. Remote Sensing, 13(12), 2269. https://doi.org/10.3390/rs13122269

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