Super-resolution restoration of spaceborne HD videos using the UCL MAGiGAN system

Y. Tao; J-P. Muller

doi:10.1117/12.2532889

7 October 2019 Super-resolution restoration of spaceborne HD videos using the UCL MAGiGAN system

Y. Tao, J-P. Muller

Proceedings Volume 11155, Image and Signal Processing for Remote Sensing XXV; 1115508 (2019) https://doi.org/10.1117/12.2532889
Event: SPIE Remote Sensing, 2019, Strasbourg, France

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.

Conference Presentation

Citation Download Citation

Y. Tao and J-P. Muller "Super-resolution restoration of spaceborne HD videos using the UCL MAGiGAN system", Proc. SPIE 11155, Image and Signal Processing for Remote Sensing XXV, 1115508 (7 October 2019); https://doi.org/10.1117/12.2532889

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available