Tao, Y;
Muller, JP;
(2019)
Super-resolution restoration of spaceborne HD videos using the UCL MAGiGAN system.
In: Bruzzone, L and Bovolo, F, (eds.)
Image and Signal Processing for Remote Sensing XXV.
(pp. 1115508-1-1115508-7).
SPIE: Strasbourg, France.
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Abstract
We developed a novel SRR system, called Multi-Angle Gotcha image restoration with Generative Adversarial Network (MAGiGAN), to produce resolution enhancement of 3-5 times from multi-pass EO images. The MAGiGAN SRR system uses a combination of photogrammetric and machine vision approaches including image segmentation and shadow labelling, feature matching and densification, estimation of an image degradation model, and deep learning approaches, to retrieve image information from distorted features and training networks. We have tested the MAGiGAN SRR using the NVIDIA® Jetson TX-2 GPU card for onboard processing within a smart-satellite capturing high definition satellite videos, which will enable many innovative remote-sensing applications to be implemented in the future. In this paper, we show SRR processing results from a Planet® SkySat HD 70cm spaceborne video using a GPU version of the MAGiGAN system. Image quality and effective resolution enhancement are measured and discussed.
| Type: | Proceedings paper |
|---|---|
| Title: | Super-resolution restoration of spaceborne HD videos using the UCL MAGiGAN system |
| Event: | SPIE Remote Sensing, 2019 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/12.2532889 |
| Publisher version: | https://doi.org/10.1117/12.2532889 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| 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.ucl.ac.uk/id/eprint/10091657 |
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