Tao, Y;
Muller, JP;
(2021)
Super-resolution restoration of spaceborne ultra-high-resolution images using the ucl optigan system.
Remote Sensing
, 13
(12)
, Article 2269. 10.3390/rs13122269.
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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 twostage 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.
| Type: | Article |
|---|---|
| Title: | Super-resolution restoration of spaceborne ultra-high-resolution images using the ucl optigan system |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/rs13122269 |
| Publisher version: | http://dx.doi.org/10.3390/rs13122269 |
| Language: | English |
| Additional information: | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| 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 |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10130025 |
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